{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "X=np.empty((100,2))\n",
    "X[:,0]=np.random.uniform(0.,100.,size=100)\n",
    "X[:,1]=0.75*X[:,0]+3.+np.random.normal(0.,10.,size=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SCIkit-learn中的PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.75464452 0.65613386]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "pca=PCA(n_components=1)\n",
    "pca.fit(X)\n",
    "print(pca.components_)#scikit-learn中使用的PCA解法不是梯度上升法，而是一种数学解法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(100, 1)\n",
      "(100, 2)\n"
     ]
    }
   ],
   "source": [
    "X_reduction=pca.transform(X)#降维\n",
    "print(X_reduction.shape)\n",
    "X_restore=pca.inverse_transform(X_reduction)#维度恢复\n",
    "print(X_restore.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "手写数字数据集实战"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1437, 64)\n"
     ]
    }
   ],
   "source": [
    "from sklearn import datasets\n",
    "from sklearn.model_selection import train_test_split\n",
    "digits=datasets.load_digits()\n",
    "x=digits.data\n",
    "y=digits.target\n",
    "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2)\n",
    "print(x_train.shape)#原数据集有64个维度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-9 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-9 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-9 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-9 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-9 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-9 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-9 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-9 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-9 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-9 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-9 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-9 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-9 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-9 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-9 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-9 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-9 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-9\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" checked><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;KNeighborsClassifier<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.neighbors.KNeighborsClassifier.html\">?<span>Documentation for KNeighborsClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>KNeighborsClassifier()</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"使用KNN原始训练\"\"\"\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn_clf=KNeighborsClassifier()\n",
    "knn_clf.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9888888888888889"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_clf.score(x_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"使用PCA降维处理，再用KNN训练\"\"\"\n",
    "from sklearn.decomposition import PCA\n",
    "pca=PCA(n_components=2)#64维-->2维\n",
    "pca.fit(x_train)\n",
    "x_train_reduction=pca.transform(x_train)#将训练数据集降维\n",
    "x_test_reduction=pca.transform(x_test)#将测试数据集降维"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6222222222222222\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn_cls1=KNeighborsClassifier()\n",
    "knn_cls1.fit(x_train_reduction,y_train)\n",
    "print(knn_cls1.score(x_test_reduction,y_test))#发现64维度降维到2维，准确度降低了！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PCA提供的【解释方差比例】"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.14973213, 0.13472382])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca.explained_variance_ratio_#降维后，两个维度分别保持了原数据方差的14.97%与12.47%。剩下的都丢了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.49732131e-01, 1.34723821e-01, 1.19004050e-01, 8.48331125e-02,\n",
       "       5.81105956e-02, 4.89511152e-02, 4.20834598e-02, 3.61847729e-02,\n",
       "       3.35516702e-02, 3.10196319e-02, 2.39226596e-02, 2.28558505e-02,\n",
       "       1.81172214e-02, 1.79654143e-02, 1.47673462e-02, 1.39282676e-02,\n",
       "       1.33227488e-02, 1.23226124e-02, 1.03061556e-02, 8.98948280e-03,\n",
       "       8.78511738e-03, 7.87696996e-03, 7.45236570e-03, 7.15618787e-03,\n",
       "       7.06211891e-03, 6.04729133e-03, 5.79532992e-03, 5.08442113e-03,\n",
       "       4.86658629e-03, 4.27754815e-03, 3.77151829e-03, 3.60794632e-03,\n",
       "       3.46605557e-03, 3.26308514e-03, 3.09733978e-03, 2.93780351e-03,\n",
       "       2.52126992e-03, 2.29940424e-03, 2.20458425e-03, 2.05929828e-03,\n",
       "       1.81888675e-03, 1.58251870e-03, 1.49285972e-03, 1.44512276e-03,\n",
       "       1.16685586e-03, 1.05047639e-03, 9.55608515e-04, 8.69636108e-04,\n",
       "       5.27982492e-04, 3.47624440e-04, 2.22345895e-04, 7.54059613e-05,\n",
       "       4.94505950e-05, 3.96290011e-05, 1.23461789e-05, 8.18972361e-06,\n",
       "       5.14268383e-06, 3.66303868e-06, 1.15280470e-06, 6.75586804e-07,\n",
       "       6.53737874e-08, 3.65371382e-19, 0.00000000e+00, 0.00000000e+00])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca=PCA(n_components=x_train.shape[1])\n",
    "pca.fit(x_train)\n",
    "pca.explained_variance_ratio_#表示每一个方向轴的重要程度(越大越重要)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'根据图像，可以判断我们根据需要给这组数据降到多少维：比如，想要保持95%以上的信息'"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"绘图=>横轴:各个维度；纵轴:前i个轴可以解释方差的和\"\"\"\n",
    "plt.plot([i for i in range(x_train.shape[1])],[np.sum(pca.explained_variance_ratio_[:i+1]) for i in range(x_train.shape[1])])\n",
    "\"\"\"根据图像，可以判断我们根据需要给这组数据降到多少维：比如，想要保持95%以上的信息\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29\n"
     ]
    }
   ],
   "source": [
    "pca=PCA(0.95)#想保存95%以上的方差\n",
    "pca.fit(x_train)\n",
    "print(pca.n_components_)#输出后，发现降到29维度，符合保持95%以上的方差的意愿"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train_reduction=pca.transform(x_train)#用降到29维的PCA对训练集进行降维\n",
    "x_test_reduction=pca.transform(x_test)#用降到29维的PCA对测试集进行降维"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9916666666666667"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# %%time\n",
    "knn_clf2=KNeighborsClassifier()\n",
    "knn_clf2.fit(x_train_reduction,y_train)\n",
    "knn_clf2.score(x_test_reduction,y_test)#匹配度提升了！！！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "降维到2维的意义：可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1797, 2)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca=PCA(n_components=2)\n",
    "pca.fit(x)\n",
    "X_reduction=pca.transform(x)\n",
    "X_reduction.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7VuUmqBqzq4rpxdP3+2KVBhXC2A3wi/ecuydkuYhpleG+P1i7AtMvZmwPalN900EW5EZN/ouXT7cnp7xiWO/1O60TplyRpNWY80Mpxf79+wmCgEKh0DMzO46DbdvUajX279/P9u3bz7sNpJRiqmHRVJvJtiXjvskY2V/fRqAtCjJAoEEIHNfFtjPn/7hrmVNV/5iwvXIHoeiEu9WmFidy1vfk4NHPwKN/Zr4WzITPyC64/aPGiLu8ArN8Y/L8IUCbr+tWfNoVGNwB1RNmweE//DhM3JSaalNeFaRCJeWKI/W3nD9TU1PMzs6SyWRWDdzLZDLMzs4yNTXFxo0bz/n4S1pKwW3IVshIs821/mlm4ywZGRnNoGJjPHWyCLiwx11tekfYpqUSNkzbpx+tO8sFO+Px6w1XO3SPWZQ4/WRnhFmaY1iuqeh89dfMeVz9TnN/pUwL7Pj3ze3+gDH+9saZYXETc8v4XJIQ2k/CZ//pymTdlJRXKKlQSbmi6O4JUvWGSbftxN139wRN3HnnK1qsXFKDK9BsNlFKYdur/+qwbZt2u02z2TznY69sKQ0SlyeZDrOcjrYTIcnqxOSgCGvJhM6FPC6wekz/iUfga/+ukz5r01v+pxIjMvwB87XrCVfrtm4qxztmXNdUZbpbmIubTcVk/8fNeaxm+I2ancmjbmgdRvAknddEdUabkYviZ99H01ZQyiueVKikXDFcbnuCLjaX3OAKZLNZpJTEcYzjOCtuj+MYKSXZbHaVr16b1VtKDs7gJuzqNJVIEiGJEnDdjBEpfTkl5/u4S+iP6VfK+FAGt8HCMSMGuhUMO2MmdML6+sLVuq2b1oI5pmV3vDDdXJfYxOoXJowwefQz8MD/WjTXOr75d9QyJlutgc75qXixRYVejPR3MkZA1U4tip9X4M90SgqkOSopVxDnsifolUa3GjE9PY3ruuTzeVzXZXp6mn379nHo0CHACILJyUkOHjzI5OQkSqmzHHkp4+PjjIyM0Gq1Vt0W3Wq1GBkZYXx8/JyOu2ZLyc0jRq4iN2Ci4xveCHpo5xKRciGPuyqH7jEG27/5Z0ZAoAANbskIJK9oRIebX1+4WndJopPriJ2++4tu66ZtHicJ4dE/N8LEL3UmjmTfRFJ3o3IESdQnUvrQCsrHjZDKDJrHnnriQl8VQ7cddfDbnV1H5/bzk5JyPqQVlZQrhst1T9CFkiQJd911F81mk1wu16t0OI6D1ppGo8Fdd92FUor777//giouUkr27t3Lvn37qNVqq0797N2795zbTWdtKfl5nLapmpTLZXzfx7cUcRTRihReJndej7uCboumOQ9xaISDBkigPQdtjHCQjqm2rOvJdZYkegWMUlEs/Rux01KK2ubD8lHz2K0F83lEpwojOym2nYrKmUjaZmqptMU89mo+mnNdTXA+KcEpKReBVKikXDFcznuCzpdDhw5x1113MTk5CUAYhti2jed5BEFAHMdorZmcnOSv/uqvcByHfD7fExfdisu5jPbu3LmTO+64o9dmarfbSCkZGxs77zbT2VpKrVaLKIpwHIcoDAjaLWooPELGrQp7B+rs5LXABbS4ui2a5rwx0aLBskBLI1i65DtVlerk+jwg3UWCwjLm2bhlBEGvcNQRI2EDsoOwcNR8ekluS2TuY3WWLa7r+SRQnwJ/cKWP5lxFx1pZL6kPJuUlIBUqKVcMr7Y9Qd12T6PRAEy1QwhBFEWEYWjaWZZlnluSkCRmn41SCiHEBY0U79y5k+3bt1804263pTQ9PY1t20u+N0EQUK1WEUKQcwV2sECARQsPW8Lt2aPsrB6EfU9f2AWz26KJQ0B3xAWQLBMGrYrJLSlMrM8D0r9IMD/aWYAYdZYkisX2TmagY4btPnb3eLIzptwRK052MewNvepDGjrR/aPXLfXRnKvoWD4e3f3eOBkjvFIfTMolJv2pSrlieLXsCdJKMfXiC3z7a39Pq9kkn88jhFjhuwGWfE5Kidaaer3e85csHym+FKzHF9NtKXmeR61WI4oitNZEUUSlUgGgVCrhtueQIiFjawbtNgmS+4JdqPzE4tTM+fommnNGACTh4vhvr9XS99omgamKCLE+D0g3q8XLm03N+TGwfGPQ7YqgsevhTR+BoGEu/jrpPG4HgREucQCdDBmktdqjLUPDnvcsCojlosPJLHpgCmu8hl0BlxlcuQ16va9BSsoFkFZUUq4ocrfeysSddy7mqFQqCMfB2737nHNUXo7QuGNPPcH3v/Q5pmZOM18cQWpNvd3Csh2STqWkK0K01iilesKgK2biOF7SYlk+2quVYubIIVrVCpliidHtO1c8r/VOGJ3LJNJqLaXucykUCviWMgKh4/MQQpKREbNxlqmkwMZMe/GCud4Atn6yw50qRv/4b/c/yy7QKjbvbc/krpwtS2V5VouXAzdrxMHN/xxu/gAc+o4ZM86Pm+A2FXfESMfDojuTR70WUnsdT0qYx5h8zJxjYxZOP78+0dF9DbseG9tb/SHW+xqkpJwnqVBJueLI3Xor2VtuuSCR8XKExh198nH+/jOfIogiRDYP0kLohCQM0EkMjreiWtFt88DS6kr//fpHe7tCaH7yJEkSY1k2Qxs38YZ/9D5GpUuysMCJKOKbTz25IkJ/ud9lraj9M/lilreU5ubmuPfee8naCsqTiwJBCRACWzi0cWgqF9wLvGCOvxYGtxuPik6MIOiOJPdaLN2x4s6vztW2G6/Falkt/QbWrpfFcowJtj7TESNdQ61nHlfa4G+AyrHVp36WoOH+T0B7obOhOeksYfSW7jbqspro6J5XHKz+NefyGqSknAepUEm5IhFSkrnh+vP62pcjNO7Qiy/yt3/7BVrZAYRlSv4KAUgsW6KTGKkShOMSRVHv62zbplAoUK/XieO4J1a6XpLuaO/Y2BjR3Azf/pM/JGw18QsFMrZDHEfMvPgCX/sv/5HXzDcYbgbc/fqbaBaLFAcHsRyHKIpQSuH7Pu12m/3797Nt27ZVo/Zt28b3fer1OnfddRfbtm3Dspa2MKSUvXTZbDaLpWPi8mkc3TW0dgSXVsQ6QcqErAwv/IIpJbzjN+Gv/mlHIIhlVYfOx07GZKlobSZz1pOl0v8Ya1V7+r0shQkYypsKUncpYqtsJo2qp4yYyQyZsLizUTkChY0dEVIxQqxyHMTWziRSH6u9hv3nZftLX5PzeQ1SUs6Ry7sZn5JymbE8NE76PkJKpO9jj46iGk1mP/kp9EXMlzh06BBf/tKXaCUKKcDSCtFpiSghiYQksV0Spch4bm/E17ZthoeH8TyPQsFckJIkwbIsLMsiiiJqtZoZKb79dh7+8ucJW03yQ8M4roeQEiuMcao14jjiYMGnsnUL1VwOt92mNTPD3MwM8/PzLCwssLCwQBAETE1N8dRTT63IRQmCoHffMAyZnJzkT//0T3sZL6sxPjbGiD5NSzlo6fa1ZkAjaOEzoucZt2rmgjmy68IumFe9Dd7+780FWXWySnqVNm0EQ26DETK1U+ZCv54slfXQ8bIoN89kOeBgM8+k3oASjhEYftEIqQ27zXN1cus7bnZk0YuSGTRmXBVDfXqpD6YrOpa/hv0em9opY9DVHaPuxX4NUlJWIa2opKScA+cSGne+FZt+eomtYYhIYizbRiFIxMqLghaSeqOJZdtIKXutlu4Ujeu6PW9KvV4HjPfj5ptvJotifvIkfl/1Aw3x7GmEUri2TV3CvGOjpUTZDg3XQcdx7y/sricmSRIOHz5MFEW9akmSJFSrVbTWPVOvUoq5ubklbaAVKwD0FHvFD9gn30BNe2QE2LpNjEULH4+IvfphZLVqLsIX44J5+/8B4zfCd34HFo502isS6LSDogYkzrnv0llHbskhtrDf/wVmq9OoIEGiGJE19o7W2fmuD5nHEqKT9bJgzkcnZ3ncaOnHxXHzvKKmafP4JVNJaS2sLTpW24ckz+M1SEk5D1KhkpJyDrzUoXG9xFbfI6kbo2wsZc/euXw4VWmNZ9u89a1v5dChQ0tyTjZu3Mjtt9/O/Pw8jz76KLVajVqtxve+9z3ynkvLcsjYixkmqt1CBQHCsk3SOyCSGKE1TcdGrzJlBEawPPXUU8RxTLu91PBpWdYSz0wul6PVanHXXXdx8uRJnn322SWCZiQr2asS7ig9x/7GdmbjLG3hInXMGHPsFY+yk2NQuhF+7D9dvAvmVW+HHW9dKizGbjQLBdcbkNbParklhXG49g7Y+TYYfy2HjhzpeHpCMoMbsXVIHEVMR0PsC3LcwRaTErPzrfCej8Ndvw1TP1xFqCz7yWiWTVWli5uHga1QOWGyW+L2+kTH2Tw2KSmXiFSopKScAy91aFyz2SRJEhzfRzimIqJ7UyC6M6AiEHGMBWSLJXAcdu7cyZve9KYVOSdHjhzhgQceWGFwXajVCUsbcMIaxe5ziTsjskKg0EhgpNUmG0U0l4Wy9U8bgTHoWpZFkiRLbutO/nRTaLsjyJOTk73QOtu2yefzWJbFdKXGvuAW7nCf4f1DTzAV52kql6wIGWcGGcWQjMA//DhsuvmivOY9VvOTbLxpsepz6NDa+TH91ZOFo3D//zSiIDNohEp1ygTGTT4G9/8v1NiN7G+/nSAIl+46csHWemnWzZHvwX2/D7Up41XpVkxEZ4eQ6Dy+TszUUBKY6onTtwdJOiYL5kd/E3Ij6xcdZ/LYpKRcIlKhkpJyDrzUoXELCwuLo8NCoq3O/7LaeDSQnbaLZZMAjVoNJ5Oh2WwuMaXCWov/TNR+aWCA0+0WC7GHQ4ISEul55sKnNaGAkpYMIhhptphdtvxv+d4fMIIjSZIltymletUS3/epVCporXv36YqbarVKKedT8C1qgcv++ha2Z55lo1Pve9CMaUGMXQ8Tl+biubwV1Wq1uO+++848bt1fPUlC4y/Rykzy6MRUMrQyybM6gajJ1KlJZsOTZAojq7YUe1k3j/49Gx/4zb6wNreTZKvMaLOWxovSzWJJIvM+bCwKlX4D7I0/k1ZEUi57UqGSknIOdEPjTn3sY8QzM1ilUm/qJ6lULmpo3KFDh7j//vt7F3EppQkyTdSKDAyBRiJIpESFIQvz8yuOt+biP8zF0M9kaWjNKWWOL+wsYlcWb36GfGWO3dpCICiG4YpjG5aKlTBoIZAr2lNaa7LZ7JKcFDAiRUozwaSSmHq1xZCokcFiVheYWqizsWgvJqmeyVNxEVieAaOU6q0oWHMNAceXpr5q30zZoE02irCMSOmm3moBSUTTH0YFArs5C9nSinPpZd08+v8sS4jthL/pbrtHLe4E6lZVwFRfWhUT0R8H5nW7/aMvTRvnXHcKpaQsIxUqKSnnyMUMjVuLbvUjDENKpVLPt7FWYrpAdLs0CKV46uFHuPlHfqTXklBKcfz4ccIw7C0rXB5T3w5DEBJhCRKlzYXUzxJPbEMWhokmT6GDgOFyGTk+hhLCxPZLgVARCoFaNkhoEYPlkqjFqokQglar1ct46Q+kQyUIFSGBGJumyOIQo7RFM5bmYictc6EfvQ6u+0em9TH52EW9AC7PgLEsi/n5eeI47lWFVl1DoL+A7BcSQa0TvdJp0ejItGt6L70RGFnRQgqI4whneZuGTtaNTsjWDi0Na1NJx+zbP71DJxivc3whzf3jJtRaxmtzw/tM++hSLxhMFxmmXAQuqVD53d/9Xb7whS/w7LPPkslkeNOb3sR//a//lWuuuaZ3n3a7zb/5N/+Gv/7rvyYIAt797nfzh3/4h4yNjV3KU0tJuSAuRmjcmeivfjiOgxCiFy2/GqrjTZBa44ch89UKU1NTbNy4sVcZmJ6eJgiCJVUBz/N6sfpd4aCFRAiN7FwMlVI08nnu27aVa194nvHyHINxzLznGUNtJ4RtubW2W0sRKkJKt7drSAjR+3f3gt8TTR3Bk3QET015gIdEs2BvgMESvO3fQfk4HPgKfO9/XPQL4GotsiiKeqPduuMZGR4e7j2fTCbD7PQppjjNxn4h0U2WFbpT6UiWvVLGFj3uNBixm0yHWewkRvRZgHpZNwWP8dppsMe6N5hQuN5xu1+wzFw7sM20mZLIZLFoDY/86aJn5lItGEwXGaZcJC5p/e2ee+7hwx/+MA8++CDf+ta3iKKIH/uxH+stUQP4tV/7Nb7yla/wuc99jnvuuYfJyUne+973XsrTSkm5KHRD4/Jv3kvmhusvanx+s9nsGU4BPM/ElwtMxWTV8wGyQYAXxyghaDabvcrA9PR0zzyrtSaOYyqVSm/DchzHS45lWRay8yakRElBy3V44prdPLRrO44IkSpBqwSlBImWJHqpVEmQJEhMcWZRkCz3pAwMDGDbNipJUJqeSDHPqZuZAvdHN3BoITEi5YH/hZp6mkk5wUHnWiblBGqqcwE8dM85vdbLdxGdOnVqRYusv+rT3fLcarUIgoAoijrnH9NM7KVR8062k8nSJ1C6abJam8/bPtLJsNc/iCdiau14cddRq0ZtfgZPt9l7VR4p7cXtyXHLTOxYtkmt7b1ufSm60jK3O1kzhpwfhdPPGsGy3l0/58P57BRKSVmDS1pR+frXv77k4z/7sz9jdHSURx99lLe85S1UKhU+/elP89nPfpZ3vOMdAHzmM5/h2muv5cEHH+TWSxRFnpJyuZPNZnsXRKeT/pokCZZto5Wi9zez0ovDqAJkkqA8H8t1yWQy3HXXXUsqA8VikXK53Gtf1Go1c5HtVFO6F+L+C7RKYroXvcS1WBieQLSb2OVJrOIQiW2TCMu0XbTui503ht8EgVAKKS1KpRJKKYIgIJ/P02w2cV2XQqFAeWGeRC8Ve7rjcinKNiE2+9vXsP2RP+dIM8d+tZfZdg7Vuc+IfS17m4+x8xw2+a62iyibzRKGIdk+w3D/VE83A6ZarS653bUlWSuGOFoaNV8Yg/KxRbGiksUqiJBGPAA7k4PcMT7M/sxrmZ06SbtdRaqQMebZGz7CzgenTdsoapgqSRJ1vCiY40jZaTHFJma/W+1SfSJUJ6YC5ebWv+vnfDiXRYbpFFHKWXhJPSrdLahDQ0MAPProo0RRxDvf+c7effbs2cPWrVt54IEHVhUqQRAQBItr1/t/WaSkvFoYHx9nZGSE6enpnpDooi1r8S9RKXp/P2utUZaFzucYGxlBa72iMuC6LgMDA1SrVaIo6r3ByhFjgKQrUvrQSqG8DMpxyc9OUhRVTg9fTYwHSYyy3d40Uj+lUgkhBO12m+HhYd7+9rfz93//99RqNTKZDLmMR7XR6t1foHGEIi8DPJlgKcWsKvLoQo4H4hsIsMnICBtFjGQ6zrOP27hj6mF2di6AKwLkxscB01p78cUXefjhh4njmGw22zPHditNzWaTXM6kv9q2jW3bvUpH9/XqvmamImXTGtgBtYeWRs27eTPxUzlmpnJURyzYvllAKO1ewuvOd32I7Voz9bd/RFO1yNJiXM6bNpyKF0eR5w52Niwnfa0eAblBUy0R0NsRJPt+zUedXBvbMyPLXVFjZ8z5XqwFg+kiw5SLyEsmVJRSfPSjH+X222/nhhtuAMwvi+4vzn7GxsbWXDn/u7/7u9x5552X+nRTriBe6i3Iq108l+dwSCnZu3cv+/bto1ar9Qyw3XFfLQSzuRJtx8WPQkbqZYQQBLkchXyevXv30m63e/cPgqCXVts9B1gMXeu2MGDRN6KSZFXzrlAKoRXadmiWRsjW2ihpI1VCbHvGktFLXqFzTPOHSjdXZWFhgfvvv5+bb76ZF198kdnZWcLOcmCbGF/EeFaCjeoNt9gqpC3yPBpdTSBsCjLoaQEHhS0Daspjf3AN2xuzHFmlWtIVHo1Gg0ajgVIKx3F6FSXHcSgWiwRB0Ks2ua7be50W+oL8uuJPa41lWdi2zX3iDexwn0bWTi31ZQQ1I1Zu+xVoV+HZfWZnz/KU2+1vRv7Fe9kYvABCgeWaSSFYrJZobUTGkm9OxzTbrphWTxx2hEdnL1H3mxA1zfFqp0xFpitmbN9UdoRl7jf34oVN6LxciwzTCaNXJS+ZUPnwhz/MU089xf79+y/oOL/xG7/Br//6r/c+rlarbNmy5UJPL+UK5aXegrxaq2FFDkeHnTt3cscdd/TuL6UkSRJODozw2NbdlDN5EiGRWpEL2uyYm2RHvcze170W3/c5ceIE7XabVmuxStGtznQvrlprfN/Hdd2ekOiKm+WbmAGzY0ibdYgkMcr1CXIb0EgSy1qM019ShTH/TpIEx3EWw9ympymXy7znPe8hk8lw/Phx7v3ut/GDGq6IML+eRMfLERMLB+1kqAWKjAxX7yiI0FRdjtZ44Jmlm5ubzWbvD6BcLtd7/btVlFLJjAXX6/Wej2Z+fr53zv3Vpm5oXfc1zefzSCmZbYRMvfk/sfHAn6yMmr/9VyEzYC6iO95qDLathaUX1MnHjNlUaSM4xLInKC0jQsAIHxVDY5beHiK1uNIArY0vBW0qKa0FI5zCutnTY7koBFOM0IxcsgtNxvUM0rLh3v9mRNL5GpRfjkWG6YTRq5aXRKj8yq/8Cvv27ePee+9l8+bNvc+Pj48ThiHlcnlJVWV6erpXol2O53k9Y2FKyoXwUm9BXj7yumoOxypiZfv27UxNTfH444/zxRcOc+/VryW0bfw4RApJ0/Fpuj6nCwP8MA65f77OLV/+e8bnpnoX3K7vpNu66O7b6bY0hBCUSqWeWFlNpIBZiKiERAuB7mR4CNtDS6uzMHA5S9VEsVjE7awfsG2barXKd77zHd761reyadMmRic2M3NKk/ePYss6SeQQNEpoK0PLKlEYGKY2cxxbNU2FYdkAjZWEhKLI/U8fp9VqUSqVes+13W73WjXdf3ffup6T7vPuisLu8sZyuYzruliWRbFYxLKsntDpvn7d4zYH98D7v7D0L/tWZe1x4H6PRnPOhMSZyOHO0kDdSwg2Lb/ObVanIuFkzfRP3GnrJDEMX2U+35g1ywe749ztcmepYINDaoL9+mZmGUQhkSSMsMBe7zA7C8nKCZ1zic/vLjLc91FTvemvLl2K/Jt0wuhVzSUVKlprPvKRj/DFL36Ru+++mx07diy5/eabb8ZxHO666y7e9773AfDcc89x7Ngxbrvttkt5ailXOMu3IPf2z/g+wvOIZ2aY/eSnyN5yy0VpA50pFXZJDsf27au2gTZu3Ei90eCJwCW0bXJBm8iyqbsZtBBIrUiEJJIWc9kC39p2LW8J2myuzPUuov2eiu5F1vd9wjA0ZlDXpVgssrCwsOhX6Tl1DbGU0N1z1Pm8tFfb+7PSowJLE2zDMOzF53/xi1/EcRxGRma5es99eN48UhrvRRSUODF5C15oFih+77sLxO0Wjoo6/gtzkkECNUrE2iYol3stpm61I47jJbkyy+lOPnX3EUkpGRwcRGtNo9GgUCjQbrexLAtn2QqB7td3zbhLouYP3QNf/bX1XUT9oUXBpzpm2a5Y6X9NhVz0nngF44OJW6ad067Au/8zXPXOpcJCafibfwb5MQ6FA+yrXm98PrSxiYmxmWaEfe0R7vCfZ6dXNtWQ2in41m+BP2C8MeutVrxUiwyXTxj1+oGZxfM/B4N1yuXHJRUqH/7wh/nsZz/Ll7/8ZQqFQq/sWiqVyGQylEolPvjBD/Lrv/7rDA0NUSwW+chHPsJtt92WTvykXFJe6i3IZ0uF7UWkd7JPVuOY5bKQzZNTCbZtUXX9nkgRgKU1SkqcdpvAcnh86242P/Vg78Ibx/ESoSCE6G1RhsX4eqDXnqlWqx2vSucv+m4rppuICixY3tLr6BrLCmHxYt6/TRnA930KhZMMj3wLy2ohhUJI8zh2boarr/46w8P/gte99mYOHDjA9KTCTiqIpA1oAu1Q0XkSZK/a0X3OlUqFTGalT6J7HisNxEnPr9IVJEIIgiDoTU11qyhdelknY2NLq8HnchE98j2TCxM2OibZ5We8zJOiNQTVRTOskwVa5n1uw8q9PAe/bXJqLI/97T0E0qcgWggtQIFDgk2dmi6xv76N7W7ZmHgFZvmhk+uMGvvrr1a8FIsM0wmjVz2XVKj80R/9EQBve9vblnz+M5/5DL/wC78AwMc//nGklLzvfe9bEviWknIpOdctyOsxwJ6J5bkoy+lFpDebax5DFgfAmkFGIbFtE3f8KT19gEYh0Qj8OGQhk2c2P8BIbYFCoUCr1VpyYe5ekLtv/WFy3ayjro9Fa7XsOmmeu0witLDQkiVjyWvRFUb9awHM40iGRx42IkUmCGHaG1qLTqsqplz+cxbKexdNxoFLxhFYKGr1gCROkEKQ92xq7XBJW2f5FmcwbeT+TKd+ut6dLt3vz549e3jsscd6k0rd9l2r1cLzPPbu3bv052K9F9FHP4O6/38x1XJputeTbZ0wSxfXeiF1BAtHWGKGzW0w/pO1vB8dg+tU4DEbZ8nICCGkGW/unhKCjAyZjbNMtSw2tp6HsGZujJpGWOVHTRVnvdWKS73IMJ0wetVzyVs/Z8P3fT7xiU/wiU984lKeSkrKEs5lC/K5GGDXYnkuynKWtA3WYMix8DsCJVEr/9/SJkgfoRWWSmjbLk3L7uWlLEmA7X5NX/haP92L7eL2Y9HTIELKRVOsgFarRb3ZWmIwXYvlAWrdqZt8fh7HmTWVFKHRuiugAERnGjvgxRf/O2/4kc8vMRlHUUKcJNgklEQTtx3SUkViZSEtu1c56V+S2B01Xm0ku3uezWYTx7HJ5+eBOlrb7Ny5g02bNvUeu91uI6VkbGxs9Z+HdV5ED93/ZfZXbjF+EQ2S1zPCPHt52OwPMmfV2ZYcd/JTEmO4RRgRUT5qRMRa3o+OwbV5ch6FwO4qlN6PhEnPtYG2hmatDLpPOEtp2kuV48bI6xUuj2rFyzVhlPKSke76SbkiWe8W5FMZ/5wNsKuxPBdlXW2DPg4dOsTj+/eTLW3itJ/DjbqjpYsoIbBVgq0SEmlhaYUfBb3HWC5SzkbXp9Effd8NjfN9v3e8nO3QbAc9EbeW+FkNrXVnouaYqaRII1Lo211kHtsct9k8SrX6FL4/wq233kqr1aJ86DEe/OFzlEQdIW3AoUBAWWVQSYyQVq+V0/WheJ5Hs9mgUJjHtttEkU+zOYzqCECtNbn8cSY2Pk02W0UIhZQO0zOTbN/2r3j/+9+/vgrbOi6ih+JR9jWuJsAlY8XYKibWifGL8E7uEN81YqW4sROBn5g8FtvrhLkp6G7Szo+Z6sZqdAyu2S99DBnGxFrg9Hp2HTOSdDqVuoisbvRVgaSZKhKYx6zPGF/M5VCteDkmjFJeUlKhknJFsp4tyMMf+pd84b77zssAu5zluSjraht06J8W2psIvrbxalqOi1SaREpEJ1dFak02NC2Otu0y3KgyUq/0jnO2akc/qwkbrTWO4ywRKbA4dhyGYU+sdKsr/S2e7sfLx3yllESRZ6wvS8wumn69I4QJoPva1z/H8WPF3lROKZpGaIvY8nCEeY6upRgQAbXEJlKAMGKlKwSVeobtOx4lk6kgpQZs2u0SR47soVKeoDRwil1XP4RlR0SRi1Ye+YJPo/Eczz73H9hzze+wceObzv5CnuUiqpoL7Fc/TqAdClZn5FqCoxJsGtTIsV//CNvFCaTWZrJHSJOWP9CJZVDJ4k6hxixMPm5Ey2qekJ1vZfwf/0dGPv93TLccbNE030vHhyRGJzEtHMaYY5ypRS0sxeK5S8ucR9wyj/lyVyte6gmjlJec9DuXcsXS3YLs7d6NajaJT59GNZt4u3czced/pLpt27oNsOuhm4syNjZGGIbU63XCMGRsbGzNyszyaaHdYZM7pg8z0qhid6LRlRRYKiEXNJFa03AzuEnMTceeX+EYsSyr7zlAPj/HwOAk+fwc/RUapRRRFK0w4HbDz7p0q0H9Qk4ptcQL0xUjUkoymQyFQqG3aLF7/zAcp90uIFY6SDvnqlDKIgg0J09UabVahGFIq9nkVJghwKWuvEVho0EITU5EuMSMDRX52Z/9WT70oQ/xUz91A3uufZR8vozWPkoV0NrB9+fYteshBgZOsWXz01hWRBBk0dpBSEkYalxnjCRpcPToHxvfztnoXkS9vLmIRi3TtolaUDvFlL2ZWTlKRoQdXw6Y6oVp42VoM8sAU4x2vj/aGHRt35hmnay5EDvZTtpsA/b9Kvz1++FL/9q8/4v3Ltl/JK96G3t/6sN4xRFq3jhRcSt6eDeRP0KNDB4he3m4c3HofK9V0reXp1N9SSIjBEZ2vfzViu6E0dj1xoxcnzbvx66HOz6ejia/wkkrKilXNGfagnzq4MELNsAupz8Xpds2GBsbpdE4wNzcvTjOIIXC9cbkyOrTQlur87zn8AuczhU5MbCBwyMbaXo+keWgtGK4UeWm48+zqTyLLXyUDI1o0BpLQAKUOhfjTLaCEAqtJa1mieMnrqdSnljFPGv+02g0el6aOI5pNptorZdM8PSbWKGzL6jz7274XFcwdUelXdfn2NGbuPa67yClWXRo/o7SHc8KaC1pNorU64NYVneEt7vIUICW1JSHjaKpHOKOsVigESomCEyS7bFjn8SyIrQuoVSCZQmUskniDK7XZPv2x3HcBnHiLclIieOYOImx7QEazUPUak9TLN64jm/62mO6zR0/j3rwRWzbgaRlPi8w75MQm5g2Pk1ZBNkROcIy+4OW01owU0Dl48arcoYx6J1XXcUdP/m+Ra9NvY4M2ozJCnszL7CzOdk5F8s8ZhKaN+Eu/lw0F4wA2/FW41F5uVNgX4oJo5SXhVSopFzxdLcgL+diGGBXo5uLAjA/fz8//OFv0GgeQusIIRxy2Z1s3fqLBMEODh48SBRFS8ZrlVJIIRhr1NhQq/C6EweZzZdoOx5+FDBSr5hxZeEhYo22YrpdlbDRpjQ6z66rv49lRUSxi1IWUiZkcwvsuvohXnjhjVTK4yxpwyiF1Apsl0aj0auY9O8K6nImf0pXxHQrNa7rkiQJtVqNZnOCI0dey/btTyBlgtZmiZ9SFlqb9tDxE9eTy8/jeRFx5NFsDCGVRndqMRkRM59kegLFIcYnoNrOsG/fPt71rt00modwnAHyedEJuDMx/RpBHHt4fq2TrbZY9RFCoJXuCFeXOK4QRQvr/6avcRHNTk0hHz5CnB3BqU92MkrsXk5KrDQSRdaOTZCbX+qMhwsTyy8tU03RGupTgDRG1+7F+QxZIktE8/Enyd7724z7EdLxIcqa1o7APIbumHiTjpG3u/QwDuChP4KH/+TySIG91BNGKS8LqVBJSVmDCzXAno35+ft59rn/QBI3sJ0BpHRRKqRceZrph3+Vw4dvp1w26c1xHFMoFHBdt8/70bmIAhvqVZaba6XSJHEFnQhwvc7tii1bOm2NMEPXSKmUJAwtXLfFli1PUS6PMZsf7O0SGq/NIxITz+54ea677jqeeuqpFSKl//VZjSRJlmxnHhoa4o477uCJJ57gkUceYfLk9TQaQ2zf/jh+RzAkiUWrWWJ+YWJlFag1wKnjeyiXx1BIlAZXxGREhCU0tgoQTgZdGqRWq/HDH97Pxk0RUrp4nqRUKlGv14miGNAkicRxulExEXHMYvVGdL02IUI4OM7g6t/YtfbNrHIRXfIzVtqM6CXMGlNxyyoyNphn/N3/F+RG4NC9cPfvml083Vwby4XuosrCxMoKwhmyRHqiufkMiNPgjHV6gqNmukfFRqgIy+wecjKd/UPSvK0nBTbdv5NygaRCJSVlDS7EAHs2tFYcPfrHJHED11tMxm21Ymo1geM02TD6KDMz7zS75Dox7ktNql0xIHDIkBCh6AoHSRI1TMy9ZSPiCJHEZAeqZLJVotjFpGZ0slIw15M4djmS38zXb7qFOW+IREgsnTBYr/L6w8+wcW6KRMNjD3+f+CyZKWuhlMKybDK+32ubHT9+vCduKuUJnnh8nHx+HtsJiCMPyw5WrwJl59mx62FefOENlMsTNJQxpToiWbzIFsZ6nqL5+TnGJ4zYsCzfrORwPRrNBtVKFSFjksQiDLP4fp0wsEgS3Zsasi2bMJojn9tDobBKEOA57ptZ8jMWBGSKW7F1SNxu0ooUnp9h70+8F3nVVebYP/gz85wspzP9oyFpg+6EvmWHVn/Rzzads3w6ySuYykxXOHX9OCPXmMetTq4vBTbdv5NyEUhlbUrKGTgfA+x6qNWeptE8hO0sJuN2N/ZqDUnikc1WKRbLS0yn3fHaXnVHAFoT00YRLz6AVihbgGVhBy1yp09QOPki+dYUkhgdKoQyFzqlzf4Y27J4Vu/hfzsfYDY7iBtH5IMmThQxmx/g7uvewImRcUAQa+AMLZ7lLDEja0jimEajSa3a5L67H+qJsL6voF4fprywkXp9iC2bn+lVgZQy2SFK2YRhBikjNm0+YLwoKGwVGPOnnTGTMW4eMJ6iRmMY29pEHJeXVH3a7bbJTbNDWs0SR468liR2cNwmQkRorchmHcJoGsvKs23bL/V8RD26+2amnwY3Z0aF3dxipaHP0NrPkp+xZo16eY6wWWEsOckd8VfZed+/gRe/a2Lsy8eMETeJjE61XChsBDtrhEAcrP4NOFuWSHc6qbWw+H31CjC0Ewa3m9dw403wD/5vM1m0nhTY83w9UlKWk1ZUUlLOwmoG2HNNpl1OFC2gtWlBAKChVq11skOML8O2QxwnwLKsnkCBxdFh27ZJ4gSllTG/ChBYWDgkOgSl8eam8OoVkmyexsR2kkwDxYsIR6ITgUhi8vk8XjaLSjRfb/0D2sInFzbRyhhe7c5EUcPL8tiO69n05P19z6R/nHhtjJm380Hv7ua8n33habRYe4Imn58nk630qkBLEcSxSyZbYWKTZmGuSFOaxYe2n18ikIynyGJ09Oc5PftxwnAa2xogCBLiuIXrtEkShxMnbqBSHueFg2/stZqkjEBBvnAt27b9K4aGlo0mX+C+mZ07d7JdH2Pqy39KM1FkMy7jXoBMApg+CX/z88You+RFxRhcGzOQGzWeksZpUwk51yyRM434tium7fSjv2WqMutJgW2chgf+MN2/k3JRSIVKSso66DfAXgwcZxAhnF4LIooj4mRRjBgzqSSOl6bmCiHI5XL4vo9t28zPzxOGIQC28pHaAaEpFGdBLpD4guholvbIJpRlUW9kaDWLZHNlQp1BSwfVyUd5QYwzbU2QjRskKtunCUyLyI9DytmCieXv5rOsT6f0PQFW7LDROu4cp69K1HdQ2wk648mr/7pSysJxInw/JogSWkoh2jF2MySfz+O6LlEUUa/XGRkZYefOf8Dw8DAHnv041dpBlIqQUtBoDHLixA3UapuwbUG9upEDT42Syc/jOW3eLp/l+lIFUYpgeYflQvfNKIW87/fZmJyEwQkQESBBZkz1pDGz7EUEUNDZ00Or3BlRds8/S2Q9SwQnH1tfCmxzPt2/k3LRSIVKSsrLQKFwPbnsTuqNZ5FyrDe+22ny4DgtgiCPMVUuVhuEEPi+j+M4vZyT7j6eXNGnWJxiw+j3cb15tIpQStK6Jsfx4z6VykYQcPzY9eza/X1ct0UcuzRaTRxPMs8QsXCww9VGk8FSitCRBI7LOSuUXr7JCpWyxn0XY2njyENriWUlKGX3BcN1zksqtLaoVBX5fL7TPtM9X0//qPTCwgJ/+Zd/yVVXXcWjj+5FWjtw7Da1mqZeH+o8pwQpBVJFCKBVH6KBIMnPIqafWd0weqH7Zs4kdOrLcnq6N+uO6usGwblZeMu/hQNfOf9txWcb8V1vCmxmON2/k3LRSIVKyqsSrdSq2Sjny4UuJVyOEJJt236JZ5/7D4ThNJBDCLCcNq7bAjSeV2f3Nd+h1Sxx7Ph1VMoTWJbVy3VZnjRbGphkYuNdSBmSJD4q8VAqJFuosuuaR3jhhVuoLIxRKY/xwvNvYMvWZ8hka0gR0WrFjA4NIysOkZDYIu5lr3SvjIm0EVrhh21EHJErVbHdkDjyqDeGOLvlbTWRYo4vEoW2F8PoiGNwjBelXh+i1SqRyy0QhlannWMi9qUA2wlpt4awrR04WdlLDQ7DsOdDsW2bYrGIlJLp6WmOHTuGbdsMDOyk3Q6o15eOGiul0MjO0LNAosk6EryJ1dsWF7pvZi2hEzVNe2f56yb6S1PKmF3z43DzB8zbhUzZnGnEd70psH4x3b+TctFIhUrKq47Ggw8y+8lPER4+bDYkOw7ujh2M/OKHyN166zkf72IsJVyNoaE3seea3+Ho0T+m0XwRz6sjRAAIgiBDkvidfJN5k29y8I1IcV3Pd9EVSmaxn83IhkeQMiSO8xjDigbcvrHjp6ksjAKCamUjBw5sIZ+fR8omllXiTbf/LMXGPLOZPK4AlEYlce9yGDguQ/UyV+kn2fy6g2SyVYTshsUVOX78BiqVCYBVlv1pczHVmItdn0gxNydYWpD0Rm5l74LsOC4nT9zIVVc/gOs2iWOPJLGwrATHCUkSh4WFW3vmVtd1GRoaYm5urrd4cGBgoJeFo7Wm0Wj0zrHbOluO7thzBRpfJOSscO22RX+lQXeEQ3/Gydk8ImsJnY7heeXJrfK5pA1HvmeqIhejnbLWWPF6WkRKvWL372ilOX28Rrse4ecdNmwpIOT5TbilXBxSoZLyqqLx4IOc+tjHUPUG1sBAb39P8PzznPrYx5i4885zEiv9e3YuZCnhWgwNvYnBwVs5cODrVCq/g2Ut0G7n6FUxEoskyeJ5TbZtO8CLB6/qVVX6hcDISBPXnSdJ/N7XKmW2BMcJHcNplWKpRrM50qsuNRojKKXwPI96rcaPnHyRb2+/nop08FWIJSSJkLQdBzeJ2Dv3ALv2PIp0FVHkoeJuWFyZXbuMmDLJtubcLMvqLDXUiCAAIdC9TBd6FzBtOx2R0qFvoiaMIp6PdnNwahM7hp9ml/s0nh0ihI3r7uTZA9uJok1YVtTLu4njuLcLqJt+26VrRo7jmPn5+TWzYBbRjNl1xu06Gk0tJ4icEKf8AwoTrzUCSUq46h1w7EEzFdOfcWK75kJ/Jo/IWi2V7g6fLrITvLa8OmU50CqjvvJRpt70n2gO7rmwyt/ZxorP1iJ6he7fOfHsPD/4xlEWppqoRCMtweB4lte/exub96wx+p1yyUmFSsqrBq0Us5/8FKrewB5bzCYRvo/wPOKZGWY/+Smyt9yyrjbQ8j07F7KU8EwcPnyE/fvvY/OWBnGc62wKhm7FwbYtstlRMpk2wWbFqVMh7XYbKSVjY2PU63WUPgokaJ3pXJg1UgoKxQK1ao0wSnCcCNcLabXNuXYv4F3hE4Yho6dP8ZYo4vEtu1nI5AgciVQmlv/1R55h79ZvmUV9DQ9sq+P/sBerNpuf6qTait5jOJYkihXacSGOzF/UUrLiYruK7+XkwAiPbdlNOZvvZLq8g7Gkys8XK7x5qMh99x3n9OlTQLk3CZXP51e8xv3fn+6GZ2AVkaI7+S1tksilVh9CILguM0M52+boYI2GE6GFQsx+ktzj97Jt2y8xVI7g0c+Yi7EQnfFhZaocaLj5F9b2iHQrFzveCrPPm4yS7FCnDSRMf0t1AtZW3S8koLSVQ3oL+yvjzH79fpR/AGlZ51f5644VB/XVA93e8z8gM7AoUHa+Y3XBsZ7Ky2XEiWfnufsvnyNsx/g5B8uWJLFi9mSDu//yOd72c9ekYuVlIhUqKa8a2s8cIDx82FRSVlkiaJVKhIcP037mwKqR+ctZbc9O//H6lxL2TwRprajVniaKFlbs7llOVwwpXcOyNFo72LbojfMqbYSE7+UJoxbvfOet1J+1qc/NkR8eZtubbuPI0aM89NDfoLVEqwiNjeOYC7bneVCEcrmFUoIwdHsXaaWUeV06F7Tjz5slhpsXTrO1tsBsvkTLcfHDkOHaArnsabLZKjpysS0bM14siJBoIXpVm3x+nkZjxLRWgFN+gZZlkWk3GGnUVmn7dC++S1+jkwMj3LvrdYSWjR8H+EqRSMm0N8yn9ATPPfAEE+UKliWJ4wTZqZJUKhVyuVzvOTqOs2QFQv/upv4W1Wr7j9rNItMnrsUvzPHs6AKJ1NihQto+yhmg3njWbFM+JhkK6jCwzRw4bpnKh7DMRM6L34HbfmXlBX155UIp0LERAdIyF/bR682SvajV2Vrc7v9JhMIEh9jCvuo1BFqS0S1sf4RYuOde+TvbmHX5KHz+A+Dk1hfg9grZv6OV5gffOErYjskNeL3/323XIudIGpWQH3zjKJt2D6ZtoJeBVKikvGpIFhaMJ8V1V71duC66UiFZWFj19uU0m81zXko4P39/x3OydHfPtm2/tDJ7g0UxVCyW0FoiRGy29Qph/pjWZtdQGDUgUsz/1z9EPjqLF0XEjsPxHTsY+8UP8TM/83/y/Ycfp90+iOMM4jpuTwe4rks2C+WFAWq1QSDp7dyRUuICucce54VsBlcpQseMLI9UF3qVp0RrHCdACoVSLkt0V+dxutkvnhvSblucKI3w6KadLGTyJEJgRyFD1XluefYRJhZOEw5sWDzAst/9Gnhs625CyyYXtno320rhBE3KaPYPTfCTx19Em5x7kkSbQwnZ+94B+L7fa/fAalUUI1J2Xf3QkuRbW8bkcwv4ux6iQoKWCjfQCGlBfgzL9pHWGGHrBEe9GoOZPoHs9O1/EnL1Udy1KhetBdPKueVDsPNt5sJ+5HtGQJz6obmPkOb+hQmUW2D//DYCbVGQAUKbfTyOex6VvzNNH4V1s5FYJeAVTdXnTNH5XV4B+3dOH6+xMNXEzzmr/lHiZ20WppqcPl5jdFvxZTrLK5fLS9ampFwA1uAgwnHQa5kjwxDhOFiDg+s6Xv9SwtVYvpSwu7unXn8Wy8riuhuwrGzvr+75+ftXHKN7QY3jjYTBIJZsrxhHRmui9jzyUBMePInMZrE3bEBmsz3vTfvhR7hm9/+B5xXRep5EmeMkSZswnCaTGeSaa36V4eGR3rhukiQkcUyzXue5bIbAcQhc1+yhSxJ0HKOSpCfWpDCmQukECJmY17TvuXSzXxKV5URphO9edSOzuSJOEpEPWjhhwOmBDXzrR97JyaExc8ELA0QUIpa9xrOFAcrZAn4crBiC1lrjhm3mvSxTXhZLgKM7awm1RncSfLtirFarMTc3R7vd7uWpCCHI5/OdSotmy+bu/qMsWjkIJOARRBkcOyT0AuxII5wMlDYbj0Xn+2OLDA1PUcut8evU9kz1oX8Ud3nlwskY8eFkzMdJZIRMv4H1/V+AH/8vpipR2gwju8ErMBXnmY2zZGSEEJ1KlbR659df+Tsra00faW3i9FFGwHQXJ3bPN6ib56NWa01d/rTrESrRWPbq30PLlqhE066fzc+UcilIhUrKBaOVovXU09S/t5/WU0+jX6ZfVv511+Lu2EFSqaxYiqe1JqlUcHfswL/u2nUdr7swrtVqrXq8VqvFyMgI4+PjK3b3WJaPEBLL8nHdMZKkwdGjf7xEhIARQzpJmJ+a4ujzO4giiSWrqKTVeR0jHLeBaMQUvpvBGR1H+j5CSqTvY4+OohpNZj/5KQYHbmXPNb9DPreHJGkShqdJkib53B72XPOfyGZf3zPOFotFCoUCOkmILYvYthFaIwAlBFpK/CAgH4YMDQ0xMVFh89ZHsN0YOxtiZerYmTrS6vzi1srEz7dKVGuDPLppJ6FlkQta2EohtcZ1oUCD0Hd56IZb0dJCWBaWgFyxZC6AHQ9q23GNJ2W1nyWtkUmCkpIwkzWVITSuVti975OmUCgwODiIZVm9TJVms8nIyAiZTAbf9xkeHmZ8POzsP/J6lSwwOWrScnGcAloKdHEChq7qiZQu0vLREiLOIb6+W7lwMqZSES1W5VZMFvUeSMKNPwPjN5o2UOe5NpWLQmBrZdpNtr+komPbNkqpJZW/NemfPlryHDptp+4yQtk3Sr7W+a4HpUyI3MFvm/erfL+10swcrXLs6TlmjlbRapWJpwvEzztIS5DEq//uSmKFtAR+fuUW9ZRLT9r6SbkgLvYo8IUgpGTkFz/EqY99jHhmBqtU6k39JJUKMpdj5Bc/tO48lXNZSlitPrlid0/vvITAskrU6s9y4sRfUCrd1POtRHMzxNUFImlTrUxw5Pk3MLH1AJlMBSFDNBZxOMrGL7XILQwj/DN7b4ZuMFNEyz0yWsO+fX9BEASUSiWEEMydPm2ep1IoIekUbxBaowVEjoPfapH3DrNh/Ls4ToznjhKEMyBitJVg+02SUCOlQimHkyduZDpTYCGTx4+CztLDCCfTQsrEVGuIaAxkaW9MyJxyEAL8XI56y+TH5PPzbMhE2LyWRErsVS5eibSQWuMtq571Joe0RgrwPI8NGzYQhiGNRoPBwUE+8IEP8NnPfpZTp07h+z7FYoRlaeJ4MUyuu4Qwn89jWTGtVgUlV7aoAJS0zTblZh2s4vpGcV+826TNKrWYxGv7UBgze3XWCkRbZZomKwIkilgpnM4Sxn6WV/7OyFrTR91JI6WNCHKWHet8AtzWsbDwpZrC2bClwOB4ltmTDXKOXPL/sNaadjNmZFOODVsKZzhKyqUiraiknDfdUeDguedWbUc0HnzwJT+n3K23MnHnnXi7d6OaTeLTp1HNJt7u3Uzc+R/PWTytdynhit09fcRxnTCcIormOXT49/nhk/+axx//AHNz9/Hwlz9PtjKHJQRKWlTK4zz3w7fx/NNv4flnb+X5p9/C9uQj+C/YZ/beRFHPeyOEpFi8keHht1As3ogQcoUxOIoi4iTpVVFkJ9xNoNHCRObHUtKyJMWh72NZIb4/gesNAcMkygEEQmpct02zMcALL7yRhYUx2o7Xq4ZYVoznNbBkAlqglMTWMUoKBrcdoTQwRSIkYRgyMHCKG264i2uvu4e9W/6OLfZhYp/Fqk33+QpJ23YZaNYYbFT6Ys9M7glghErf17iu20utfeyxx2i1WrTbbRYWFpibD1FKYFkKKY25uFgsMTw0bMzISISwSZLmYmVNA1ET3a4Qh6fJ5XdRSPJGPEQtYxCOWubjvlFcpRSTD+/j4AN/x2QyhBLCXKClNFWL8jFTYTlTIFp3mmbseggbjLcPMiIqtGQOXdrcW8JoXoallb+z0hVC3rLnohLzXsgVQgg49wC3dSws7E7hzJ6o43gW2aKL41m9KZwTz86v77HWgZCC1797G65n0aiExGGCVpo4TGhUQlzf4vXv3pYaaV8m0opKynlxsUeBLya5W28le8stFy2Zdj1LCZfv7ukSx3Xa7Um0TgCJ4wwhhEW98SzPPP3/pRUNU/QmyMQtFiyPSEiUkNTrw9gqJlcrU3htlrDjvRG+v+L81uO9WW4MXhrZv4gXx6YVJARaCKzhOr6/QNKStIJ5klyeeiNG6zxSJlhWjBCKI0duol4fAcCPAiytUJaF69YQQqP04msVaQdLK0qizPj24zz11CY87zDbtj+EJRfNrD+uv8ZfeD9Py/dxggQRS7QlaTs+bhRy07HnAWFaNCz1y1gqwVpmgjbbkxvcc889aG1aQ+12m2ZjmGazSC63gBBFisWSESgawjAkiuZx3R1Iafw+tnKQzQVU0ia2wUoE22pDiJv/hZnuWWMU98UXX+Q73/kOC6eOoNUbcYgYUQvs5XF2WpNGJKgIqlMmDv9MgWh90zSyOcfeBcW+B56lFgRkZLRm5W9drDZWLGzwS6ZC5OSW3v9cA9zWscBRf+/j/GDhYy/pFM7mPUO87eeu6VVwgmaMtAQjm3JpjsrLTCpUUs6Liz0KfLERUl7Ux11tKaHSigPzByi3y5S8ItnsDhqN55ByrC/19HRHpIBl+dh2rnO8MVqNE5R2N6j8cAuOjsnEMYGwSBBYaNwkotmuo0aGcXfsIHj+eYTnrShLJ5UK3u7dZ/Te9BuDHccxF62OGDH9HiNa3ERhJzENaQyZA/WT2EIRK5s4DmgrU3EBk5+ilI3nNikUZrEdE6ev65qRsM1sNovoGGx75yugKfJsUifYGE3h+BHFYpnrrj9GGCYE7SyWTpAo9kTP87PqL/iW/2NMupsJpI8jYDRo8roXn2J8fhotLRIh6W8OySTCsR1s1xhCoyhCKYVSijAMcRyHgc7PbTabJY5jygu3ksnchWM3sK0i7XaLZrMCNEgSl5Mn9lAsldgy+iBJ8AIxGmFJ8qHNttM+Q3NHYfoz8J6PQ6a0YhT3vvvu47vf/a4x+WIBFhEWk4yyT72FO7iHnXLSXLSjpjnG2QLRpDTHn3qCncxxx2172H/AVM76c3bOK0F5tbHiVgW++mtrBLjl4dp/CIe+c/YR5NUmi6KmqdpICzKDnD7ZZqFcxs+tHg1wqaZwNu8ZYtPuwTSZ9jIjFSop58XFHgV+pfHQqYf49JOf5nD1MLGKsaXNG0sl3uFbEE5j2wNonaCUMSUKYeG6G3pf3/WtuMVpRHYe2hvMhuKOqAFzgZWWTbY0QL7PeyNLJWrZTQTKxq6eprQO703XGDw9Pd0zV2qt0b04e+NNSQQESqOljdtukc1m0FoibW0WAi6pwQhsu4Vlh2zZ+iRAJ06/RFDNsS9zG2UxSEY3sImJsWmKPL5u8+Ph10FLBAo/cwqtT+H7I0RRm0QJpFZIrbg2eY49rWc4aW/ihcm3oGs+g5V5M93TMXTq7kYerRE6QUuL7MAAYRhSq9WI44hsbg7bbpPJeEi9ERHWQVoIJ4vjOCTJLqanJIND38d2FgjDFkpJomgD5YVbCcNNHD/WYvL51/EjhYTxYsCYCCmGjtktXSiYC/h9v2+mc/q+Fy+++GJPpFgChFaYSpBF2GlQ7Vc3sV0fQwoBlt0ZTT5LINoyj8dO6bB9eBdTb/6XF55MC6uPFa8W4FbsCPjv/Y/1Zav0TxaFdahNd7JhOhNLlkc73IBK1BmncIJmfEmmcIQU6QjyZUYqVFLOi/5R4PNtR7xSeejUQ/z2A79NI2pQ8kq4lkuYhOyfn2U24/JPRwcQyRxJ0kBrhZQZPG+0V03p4np52s4MSVJB6pGVBr56jQ1btzO6fSds38nQL3yAF790PwftG2h6IyhpI0cEQ5sKZAZ2k1t+on30G4PL5fKShX1dF60GGo4D2kaqmCEVouJxkuYR7HyNJLCW9IosK8D3mmgtiWMHpexOnP4Cb87+Fd58g/0jV3NKbKSJhUXCJnWCHw+/zp7kOaRMUFp0gtoCctkxpPSo1+vEcWcpotKgJDs4RFSfoFzuq2p1F/N1bSMCk3EiJLVGkyRJKBYn2bzlqU5bR6GVpNEYoHJiJ3F5cImBNQx3cvCFEUZGmgThPJ47RBialF2tQ8KgTZQ43FN+I9lKxAanyd78UXZ65d7ki5p9gQPPf4lyYYwBf4A9g3v4zne+04vzlwKzcBHjoVEIYmxm5Qam8jeyUc5DEpv8lDOxRgaLnHmajZXfNIJi4yVIfl1eaVk4Cvf/T5OvslqK7WrZKt3JotaCCbLr7kXqvCLELfxkGklMEits11pxGukUzpVFKlRSzovuKPCFtCMuB/rbNwP+ANcOXYtcI0W2e/9PP/lpGlGD0exo73n7to9neTzbnOGz1Q383q2/TbXyOEeOfgLbHljiW1k8Vojr55Hkqc/P4ecL2I5DHEW06zXcTJZbfvKnaX7/+8x+8lOcmtY8M/oTJNLFISRTykGhyEI94e6/fI63/OxuFjZnmA9jhlybG/MZ8xd6h507d/Ke97yHz3/+82ite39p687yPwEorRFJzKgKyfnmIlA/vIvStT/E9tqo2CNRZr+P7zfRCNpBFqXMfbtx+p7b5DXWN7lh4dvMFgaYj0fI6zpb9QkkJpnWtgMajSGSZCtJ8jRh1MTz8niuRxRHBEFgMk8wKbFx5C1/CekPixPCbE62LIswDCkUT7L7mvtxnO5f6xosQWlghlyuwukXXkerPAjl4zCwhViYyPrZ2RyZzAgC85zCMKRcLqOVwsJsVbakYjrOsa9yDXeUnmOHW+Y7bYevxD7Hv/sHzA9JbMtmt9zNxrmNnfMTnRFs0TEug0STIIm0RdMagPDk2b0e6/B4rNjufDHpVlqUgr94rxEp53Ie3cmio/vNMazFcEKjNgUbnKMMRpPMNrPpFE5KKlRSzo+LPQr8crBa+2ZHcQcfvPGDvHHijat+zYH5AxyuHqbklVbtnZe8EoerRzgRWVy3+f3Mzt5FvfFsz7fSRWtNHJcplvbwlp/+KA9/+W+ZnzxJ0KgjLZsNW7dzy0/+NMP1Fqc+9jGSepMjV3+AxPbxkhokCcl8iON75EpZfmglfPqFY1QXXCKtcYTg6qzPR7aNsndw8Zd5d8S6VCohpURK2VscqJQiCgMalQo6icA2f8mGCyNUDryG3I4XsHJNLDtEYDpGYZghSVa2/5LEIluoMDO5ky2Z42yzjhDHHkpbCJng2AFJ4lKp3AZso90ewPcruG7OjAbbDtVqFYVgytvITGuCaXYyQmW1CeHea5okCb7vEwRtrrrqcVy3ZW5TxlejASEUjtNiaNsBTlbfQpRAUj5N2x2kVCpRq9WWpBHXarWOsBOQdBZAoynIgJry+PbCNuRUi+lmhg2qwAbLol2yOHYtTDqTDEQDuKLvNZIOJCGL9l+zoTnbOgXZdSzrO1N67FrbnS8F53seUho/y+F7O59QRqCgjU9FSER+lNdbf8fdzV+lUQnxs3Zv9067GadTOFcYqVBJOW+6o8C9HJVKBeE4eLt3n3eOyrlWOM6Xtdo3zy88z28/8Nv81m2/tapYKbfLxCrGtVb35riWSzWsUm6XEUKybdsv8exz/8FMi9gDSOmiVEgcl7GsfCda/ya2Xv9aZo4colWtkCmWTLsHOPYvP4SqN2huuoGGO4yl2pwcztDwbLLNNptPn+bYa7bz5R0ebUszmmgGfZtAaZ6pt/j/PHec37tmS0+sNJtmxNb3/SXCqVtdcV2XVr1Oux2Q6zMyhgsjBPNDNOxpgg1FPL/G1q0/JI6XVjksK8J1O5kpQjO68RBhO0scuzhuG8cOUVrSbA1RXriVON6JbZ+kXt/C0NCLBMEUjjNIkgie0tv5evbdnGIjQcZHXC8YaNa56fjzbCrP9j1qd5FgQBx5RJFDLj9HJmP8UVpbdEWB6H4sErxslZbfplLfgE4Eot0ml8t1RKQxHUdR1MshEUKgE3NBlWiEAFvFTMc57LBAaNXMpLFwyJYVux4RTN8waASUThDKrCwQ0gJcUJHxCQGDos7Y+AST1/9LmmoT2cnJtf0la6XHdjmfTJPz4ULOY3CbieFXUSdcruNPsTOQHwU3x2b1NG97U8wPniy9bFM4WunUWHsZkAqVlAviYo4Cn0+F43w4W/tmpjnDp5/8NG8Yf8MKkTTgD2BLmzAJ8e2V7ZwwCbGlzYA/AMDQ0JvYc83v9Pb/xHEFIRzyuT1L9v8IKRnbefWSY7Weero3WRXJDAfHMuy/doTTJZdEgpVoNlQCWnlJYAuKLYWbM56PjCXwpWAqiPmfR2d400Ae2Zly6Z/+WU4cx3iZLJ7jrNqOIj9Cq7GJOJ5Ga9MCUsr8GrFkhOc1EEJ3/LmCJLZxvBYqsTl+7AaisEicZKjVBimVpti67bN4XhnbFgjhoXVCFC3wRLyb/5/7ftpk8WOFDCISKZnLFbl31+t4ywuPs6k8u+oiwVZrgGaz0Pm411Og32CjtUBKRaYwT7W+AYcIP5On2WwShiFKKQYGBnpj3OZrNEpY2DrCVgFg0440SghavkSGGmG5aCEIMwXwxxia89GWjUCgtDEwW5bx0WjpkiQJtiW59uY385ezbWa/9zxKPYuUcu3Nx/3psU5m5Q/4ejNNulubz3dZ4IWcR3bY5KY4WfNtUbGJ5bczncmnFkiHTdcM4ezcyfThKgBjO0qMbn1pxMKFhs2lIufikQqVlAvmYowCn2+F43xYX/vmMAfmD3D98NLnde3Qtewo7uD5hefxrJXenEpQYffgbq4dWvTmDA0tpsUG4TwnW2XqYohTusSAVkvEkFKql9fC0aOoKMJyXZ6ZGOLv3jBI4AhyQYyVaBJLcHI4Q9uVlIKO56HvF6EQggHH4mCzzZP1Fq8tZFdM/yw//1aryeatmte+80d47t6HOf1Cc0k7auOtb+H+x54gqJVoNQrk8hXCoFON8VodkSJMdoqyiBMPEo3rthgZOcbTT78LKSSF4kmuusosAYwjF0KLxHJBtkHYfM35BRqtHPkwMuO8IkEoRS5s0XAzPLZlN9fy5IpFglImZLPz5HPzdJs0nVdj2U+B8YlkRcSQ1cBWESK7AW1nKJfLxHFMrVbDcRxT9ei8CWmRz/rE7YQoiomxTEiejhGWC8JCO3l0cSsIC5FERK7GTlzT4NG6N3EFJtvlta99LT84eJggCJakH6+5+Xit9FjzTVxfpsk6UmHPyoWcR//X9vtb+r72hP9ufvA5wcL0U5c0lXY1umFzYTvGzzm9tlM3bO5tP3fNGc/hpUrUvVJIhcoVilbqogWiXSgXUuE4H86lfbMcKSQfvPGD/PYDv81Mc2aJqKoEFXJOjg/e+MEV5ymE5ECjyaef/Ms1K0aHDh1i//79zM7OopRCJAm519/EdTOn+dvXXUfoQKGpkGikHWEJRSZ2aHpZGragoMWKCQlPCiqxZj40S//OtBbAsg+ye/cTlAbazLU0G26xGXtDiYx8PYODb2Lr7ncxNT3DfQ89TNJuc+rFXey4/jFct0WSWJ2lhJjFeFoQBd2KkyCOXTLZKoX8PNXqAFs2P9VZApjB0ppIa6JqgJCSSX+II5bECyNUktDntDQj3HFIOZuHbdXeMbr3MWZem1yu1fkaU2Xpr6uYiHzz+aRRwtEhOBkiHFQY4vt+Jyl3gFqthuwkyjqOg+/71Ntt4iSLQoGtEVohbJMODKBz4yAsUCHmpUgInIACBeLIfB8ymQyDg4O8/e1v5/777ycIAgqFQu9n33HOsPl4lRj9FZuXd77VVEtWq5KstbX5bFuQV/zPcJbz8M7gtznL156Ib+Luk+8lTOrnJRSW061utGphr8KRKbirVjm00vzgG0fPO2zuQkVOykpSoXIFcjnt54ELq3CcD+favlnOGyfeyG/d9lu9NlU1rGJLm92Du9dsU52tYvThrR/m4P0HV/xVXS4W+croBIeHNjDQqqMdieXXEJYZcXXxkHjElkRm3BWFg0AZY+2Qu/i/enctQFcUtdttisVJtm27D9fTeN4wSkWE4QxKTdPieWqz32Ch/deMNt6MN3uaZjZLZWGUw8/cxMYdz5MtlHube5WyiAKfJHEWF/wpC9sOcWSDYiYkm60Sx6bKoLqLALUZNS4nw8SWxNchepVfUZZKCB2bKCOIIpflT1oAqDxaBgihMGKlv9Jk2jnNeoGp04O4rkVbF4jnTSR7dyLqmmuu4eqrr+bFF1/k4Ycf7k0hdW83oX7mWLK4g6RyGEtrsDrbkjte2QSF7TqMFEZot9uEYci73/1ubrzxxhWrDZY8j2Wbj5cEDq6WHqsU6NiM+z74R/D9P1lZJbnYE0P95zH9tDEJW+6SRN51fW1fLosevZ4fTP4rwsS5KKm03erG7Ik6QTNGK42QAjdjs2FLfkWV4/TxGgtTTfycc85hc2cTObX5Nvf97UHe9nPXMLq1mLaC1kkqVK4wuvt5VL1hUmU7kzrd/TwTd975kouV861wnM14u9bt59O+Wc4bJ97IG8bfsC7j75kqRlpr5lpzfPfe7zKajK74q7o4OMgRbNq2TSmsorJhJ01WorXEFTEOEaH0UCIAFn0nWmvKUcJ1+Qw35pd6CLbv2E6z2OT4ieO4iU02epgoknjeGEnSJAhOAQohbLROSJImtdoBavOPsisa4xH1BpTjUFkYozK/gaGNJ9lxzRMksW0ESCfttovsJNSGbRvfDxFCoZS1zDlizjmb1LGJSaRA6kUN071nIiUWCSVRRSWyO8tjujnmIDRaMZ5nAXYn5r8vYF8Losjj6MHXEOHS1i4iTigWy9hOQBS61GqDPPLII2zevJk3v/nNbNy4sTfW3U0dtm0bFSl0HIFlI3PjJPVJLCFAKYSCxALtSEYyJifH933iOCaXyyGlXLHaYDm2bZuY/9U2H/dnmrx4Nzz8KYiB7NDaVZJLNTG0bLv4io/XYpUE3NPhThb++Cn8nLVuobCWH6Rb3Wg3IqIgRinTHtVaE7Zipo/WVlQ52vUIlejzCptbS+SE7Zhm1ewQmjtR56uf+CEjm1eKpJTVSYXKFcTlup/nfCocZzPenu3282nfLKcrerpi5cD8gVXFymoVo0bUYLY1S5AEFFtFREMw78xjxRY5J0c7aZvzztgMag+hNe08uEIjE5N7giURlqSo28zhshAFeHYWzxIEyoiUvC35yLbRJXkqy1+bTU7CzxRnyXsj+EIQhqfpipQuWsdYKkMoFyi+fobRe48yOzKOcn20sJmd2c7opmPkcgskkU3XA2IEhMa2Q5qNAeqVEpasmrRbmZB0jLgCTKS/1mzVRxjXpzhqX0UmDrFsq7/gQmA7jEcLbJbH0NJC6b5fYxq0EEgZo5TD8WM3MDJylGyughAJWls0GyWOH7+Bam0M7QhKA9Ns2fIU2VytI6Ak7XaJmenX99ou/WPdcRzTbreJ49iYYm0HlEY6OWzhkGhthKRQKC9mwh1hKF/DsmYIAgcpB3qbjDO+D0rRatRxXbcX+w9A1CQOQ6SG7CqhiuaHsBOj/+07IYlMSuyZqiQXe2JorTbSzDPrbyMtS8BtPz13TkJhLT/ITT+2lce+eYywHZMkpqpm26L3o6kSjU40QTteUqHx8w7SEucVNreayAnbMfX5tlmULYystmyZtoLOgVSoXEFcrvt5zrXCcbY2yk/v/mk+9/znzmrMPdf2zXLWO6W0vGLUiBqcqp8i0QmWtMjqLBJJW7U5WT+JLW0SlaDRCASOdBmOt7Lg5xlGISzZKxlrDRE228UpcrrGbJylktg4QnBdPrMiR2W1126QOZSKONWcZQINKkAIC6U7IWkd34lWEbIhiYYjbszM88SxOoGfQVo2VhJzKr+DHTfWcf02cWTMrZaMsZyQJHE4fux6tNbUq4OdJYBlVGjRrZTozuO5dpsfrX+H/+1sp+H6ZJIYV5pKStOyceOI9wFBI0c2XyXsHEPorgOFnjCaOrWLqVO7lowv1+tDdCswpYEpdu3qmHpjzxhyrYRcrsz27fs5ftxiauqdvbFuIQStVmtxegdQnW3QGhtfZwjDFomXJWu1GS1NM7DlIdxcCyEUSSKY2DiK593KsadO89AXP0fYjIhsB0sl2I5LLufhRmV01KalM4xZFcbv+hV48xqtlHOpkqw2qdO/Zwex/i3I59lGOts0zLkIhTP5Qb7z58+SJArHtcxosxR94YACKc2x/LyzpEKzYUuBwfEssycb5xw2t9q5N6uhybWzxKKJ2rPwL9FyxVcjqVC5gng59vOsx7R7LgbVsxlvpxvT/MmTf4It7bMac8+lfbOcc5lSWl4xmm3NkugER5q/yAIrQAmFg0OgAhKd4Eq312KI44g3zD3AvYXbmWeQgmji6IQIi5rOkhEhH/C+ye74YcS23yPJvmbVZNq1XjslsiAspEqoBgsUhCJSCapPpEgtQChsJdBCUfI0r1c2z7fa1IRCAdFzFi9aN7Np53Nks1VsEaG1pNkY4MTxG6iVRxGOue/M0WvZcc33cd0WceyiEokUCbYbEicuucMO787cy/cnbmTOGySQLjYw2m5wy6kjvHX3Vp56aAO5Wxr4bpMksFEJKEfiOJERRsdvoHtlqteXX3gV+fw8O3Y+im0HtINsZ7pIIIRNknjYdoMNo4/SaNTJZnMopUwInVI9jwpaYXUyVRIkmZESb/cOc3+8C6dYZsPVTyOtiDjOkSgLy1Lksgs8/dS/4/i941SP+wwMDDHvuCjLJooCKvMNcq4illk8S7E3dxQ5c3DtCsW5VEl2vmNx2kbFUJ9Z3LOjASlgdJ1bkM+jjbSeaZj1CoWRTXn2feKJNf0g1bk2cZDgeJb5OV7+v7UAlDnVJNG9Co2Qgte/ext3/+Vz5xw2t/zck0iRRMq0m9AopbEdC7vzvC7VcsVXG6lQuYJ4qffznItpd70VjrMZbzNOhlONU2zMbVyXMVcKuW6DbtfzMt+a54+e+KN1Tyn1V4y01gRJgNVdqKc18848DbdBISh0pmk1TqSwlMAEqrr4jWP8nDrAXfbPMKlHqWNhk7DdmuZ9zn5uEM+RSJsbS0WOh0dZmHmCx2c1Vw2/lmLhBjN1tMZrN6uzVLTPoNWkmYRkrO70jvkLVAKRhtmkwkZPQqyQLYtRbbFBS8poAjTy6CSPW1t5tnw7mcEGjhOQhB5hrcRAEiArk3ilQZJWE2baLLT34F9zAi9bw7bNMsYwyFCujLF5y9Psyj7Au8VfcVRtZz4YRzR245wUjI+NsXnLVn4wN8zpRyWFq47gFVtYnkAIh2ZjgOPHrqdSGV/1+1gamGLLlqfI5co4bhutBRlZJ45zwOL/F3Hs4XllDh78DidOWLTb7V6uSve9RHfC+QU2CaF0GS+E3KCfprbpNMKKCYMsSAvHccjn87iOS2X+IPkdDYL5N+FKiR23WLA8IiFQlksz0WzxGp1dQk3QE2sbXc8lz6Q7bfPFX4KFI+b27p4dHZvdSvVpOPK9s7dszrGNtN5pmPUKhdmT9TOaXr2MTdSKiSPVa/csuVunM6k1K1o5m/cM8bafu6YnqtYbNrf83C1bGPOuZVpNQgqyJbd3vpYtaTcipg5V0ryVM5AKlSuIl3I/T+PBBzn1Wx8jrFdIClmsfB5XWWc07a6nwnE24203q2ItzjR6fCb62zztuE01rOJZHs24Sc5ZXAe4lhjqVozm2nNopdFCExOjMRMk06PTZE5kKEQZss0ALwpRwiZyXQQh83adbdFz/Fv7/2bKu5kaOYqiyU45hUARhmUSe4Lfe+hOtifPMWSFzAs4ccimmNvNa3b/W8ptvcZrJ3g8mmCvexRPBCQabEFnq425CLe1S6ITWkVNftomDGbRxRCvXKQURiSVCjMTE+g9N6KqVepV88vY0Ypiu4aqzJPLZHnXz/4zAL7/pc8xf/Ikp6eux7+2wtjGQ3huC89vsDH/PABx5BLHLlv0SXa4h1DOo0y23snIG36SZ0qjzG/eif3Dh5k5sInMSBtZtKmXtlNvbOhcfFey2OoJSZSFrbvhbwmuWyeOJUq5nTh+cN2E5577AeWFjUtSYrtx/WaYyBh6izKkgcV/FRELg5O8N9+mmlhIu8lAdohibpgwSChPV4lCiVsMiPQszZkS2ZLLRlklqM8QChcVK35s9xzjnur+YK1tdD3XPJPtb4b8GDQ66b6dbc44WchtMBuN1zP5cw4Cae1pGEmOmEY14Ad/9xSbrr4dYVvrEgrHzuJlcX0LIQVJlCBtQRJpY3QWnfC+TnUjChM2bM6vaOVs3jPEpt2D5xza1n/usycbgOmS2Y5FtuTi+ouX3XYjImzFPPK1oyYHKc1bWZVUqFxBvFT7ebRSHPqf/41g4RRzeY2OGohI4FkeI4PDuAuNNU27Z6twnM14q9Er/rrq52yjx6uxvM1jC5taWCOIA07VTzGRn1giVlYTQ92K0X9+6D9TDaskOund5kiHhdwCA8kCN87uopUtEPhmcibXrLLruQMUG/N8o+Cz8zUuW5PHl8TxR3GZSNt8d26K1zgL+LamrR3aWiOSBF1/hsef/j8Z2PIra752k6rINxojvM6ZYrMLDgkWECNpKhuFYNBSIBTRRp+Fn65DWME+bVF6YID61pt4ZMd2IgSFwUHa1SpJFBFJybxXYMvmEu9470+x9QZzsdxy3Y3MHDnE3Nx9TC78L6KkSRy7eE7Um9Bx3ADbCc24c+jzgrebr191G7MLIdHcccLXvZ3S5j288bHvsW3yEHoWWluykNGr/Plsfjq2bHkKywoJwiyWXMxoMSF1CstqEMcWSaI7hlxJHPtYltWXUrsohJUGl5iCaNGWkqqGw3abHdIMVreJSSxJEJWhkSGqgEpidAJCamw/oDWbUJtrUygovKCOxKYZSU5VJWNFZXYYoqnlBJET4pR/QGHitYiugD/XPJOpJ4xIGdyxeiqs5axv8uccBNKq0zBBDerTiDjAVzYLx3xOf/JfMfrj74edbz2rUDibl0UlGjdjYzsSggQVx8Sx7k39CCEQlqm8rNXKEVKcV0ume+4zx2rc/ZfPUptvkx/0lojdoBXRKAfGwNtXNUpNtitJhcoVxqXYz7OcR+79HNHBZ2n5IKXd81q0kzaTzVNszI0gDh/mmQf2Ud4+fE7ekLMZb1tRi4JToBW3KLiFFbefafR4tXFmYIWvQ3WyMwSCSEVM1afYWNiIb5n9OWcSQ1EcYQsbpRWWsEBApCIWmnP84oMhW2YmOTkxhPDz2FFIvlFBaI3TTrjp7wUD/+DXEOVv0mi+SDucQyFx/C3cVdFss54lI6GhTbaIBJAW1STEChfInPwC11fHORyeRG90l4hErTVPNWIeTXLcMrSRLVaN7dYCWRHhdrJIbKGJtUB7JbzcIAfbReZLgsFdMfbMGNEx0RuvzubyxGFAEse0ghC5cSObrr2ByclJms0m2WyWsW3bmaz8J2xXEczaOH6ElMmS10sIjSUTDvg7+HPrX9DSGTaIiAKC2aDN7NA433zLP+LH7v07tk0ewp2boj2xDW0ByI4xwewCyhdPk8uViWKzJVklEq0kUiqUFiYYTsSgI0Di2AGNxiD1Sgkh487EhhEpZouy+dkqiiaWDqgmJUK7xZAWqNhsonaEQEqHSCc0qwG2ds2F0tJoBUkTpA5RiUW9EiESh1hLtIYHj3q8OOtww40VWlsrNJwILRRi9pPkHr93yQqGtTJJVs0z6bZsHN+8PlpD3IKwZgSL5YEqQ3PuzMbXcxBIK6ZhghpUjptqjrCwLAhim/bpmSVenDMJhfV4WTZsyXPTj23jsW+uP0flYiGkYGx7kdvfdzV3/+VzNKtRT5DEUUJ9PgAgP+T1hNb5ZsW82kmFyhXIxdzPsxylFd984vP8aKLBcXtmTiEEQkhiFTETzVOoJ/zve3+Pp07a57zT50e3/SgHyweZrE8y5A/h2V7PeOtaLrdvup37Tt53TqPHa03wvGPrO3h+4Xkc6RAkxuh6unl6SUUkUAFHq0fxLZ+iW6QRNdhe2s41g9cseV0+/eSnaSUtNuY3cqpxyogVLGxhs2kyYGJOU/eh1KpjtVu9r9VCUM/ApnnY03gNPxzbyVee+gMWWsepxXAqnqWoy9w8nNDWndHgPtzEJmklVJpPc92Bq9gwm6GarzF1vUtzk7fktXGkw0KlQKDHeM6Oyefn8UXEzc4keQKqSnJU3MhXwndwkhFiaSF1yOjgaV7fDCmGi+dtux626yEdl6mpKf70T/+UWq3WM6NOTIRMbHwezxshcOcQTmXV73eiBPvsn6SFxxALWLFD1Aixo4B8GFDPFfn+TW9m+9RhvLCJmD5BMDRK4nqUhk6zZdsBMtkqUkY4ToS0IpLYxbIjhFQgNLKXsyKQMsK2k0VDrjA+A1BIAUpIFAKJRiFokqFFAaEFmViw5fQtBAtVagP3MZAJaWiJq1xIJEiFUArHT2jN+7TmciBgarBE3bXItnOMzU7iSI1va+rFFkc2LeA7CV6skLaPcgaoN57l2ef+A3uu+Z2lYmVZJsmqybT9LZvlhlo6FRUny4npIj/46uNnjoFfp0BaWv2QxgejlbkvkCgbKRR+wTdTRPs/Dttuh+kn13wu6/WybN4zxOZrBtedTHuxWa2NZSo6kB308DJLx5xTk+1KUqFyBfFSxOYfmD/Ai8zwdktiJ5q4f/cMpgqRBG0CIUkKWUYyxXXv9FnuE2nFLRpRA8/ycC0XpRUKxT0n7iHRCUopZlumD+9Ih12Du/iXN/7LFcdfa4Ln6bmneWT6EWIVI5Foodf0vyitaMZNmnETieRk/ST/+tv/uie++o2svu2zUWzs5aigodQWOAm0shZaKwSiV4lKdIJlS/KJz9MvPshvHvgbGlGDolck7+RxVAVPRQgSIm3R/3tXRhqvAWiByGsGNhSIAw+7Ok/u4Zgfxg2a45Ldg7v5R4P/iP3790MDLCyQEHij6C1HyA5FNBLBEfsm/jZ+Hy3tmukjEkIkk/Y4M5ts7Knj7GxVl742StFqtUiShEKh0EvdrVSPMDhUR8oCmVKOIOxMm/W/xAKOsoNTbCKva6AT6nPzqFD30mb9dpP5gQ3MjIwxMTuJF9SxJ+tkNgdsvfoYth0RBi7K8rDtGCkTLK9lclm06HhUug+qseyIRnWYk8eupVI1htzeosXOFJSFJkGgETR1d3qrBVaCwMaPR5g69kbyux4kJyMiLBO1T4D0m6goy+wT4xweH+fB1+1lrjSIkmbyarh8mh99+jsMzb7IwGvmEbaiXbPIZgTkx7BsH2mNEYbTHD36xwwO3rq0DXS2oLZuy2byMTOarNXiaLLWELU40bqWu79SJ0ycs8fAr0MgLal+ECPiwKwZwDxkO8kwkplhQ3YK4kGYegr+9N1QmzrjLqL1ml7PtYVzsRcKLm9jlWeaPPq1o/jZlVkscOZQuSuRVKhcIZxvbP7Z0l+XU26XOTImmBv1GDvVplZylvSuExVTaMPMhMv81hJSiHXt9OkXE65ljJ0a3RMIQRKQsTMMe8O4lkslqHA6OI3SCt/2zSjwKhpjrZHdRCe0ohaxjnt5JkqrXun/TEghcYTDM/PP9MRXrOIlRtackyNrZ2knbRKVkB0JSexJRuwSNRESJIH5qwuBb/mMyCI6afPxg59mZqRl8jySFmWrTMEt0NI2sQ7N5IZY7Ne77c6IsaPRWqJij2JugHy2RGVumh+fHuHWf/JLZGpZvrrvqxTDImWrTETIYLbOkBXj1cAqaYht7nb/MS3tMiyqvW+rS8yAmmdOTPC9oQm2n6zS/92rVo1wyefzvY3NjuPgukMoJWk2K2R9xxyvG1Xb9zLXRIEYG5sQpQTEIIX5rmgNVpLQlpJk1CHvN4jbAY3ZDBPXT+K4mqhmY5GgFahEYnUmjIRgaWItHWtFs8BTP7gNoSU4CuSiQVt3/uOIkITutIuZc3WUQywUWoZEjqayMMGBwz/Cph1PMCACnEwNoQRJZQOt52/lWHYr37h5N6Hj4LUa2ElCYlvMjkzwpTe9D/XE/8NbCkeJ2hZaSeZDn7yycTF/ddv2AI3mIWq1pykWbzzrz+XiD6iE238V/ur/bULiLAcz26VAJ2jh8oP6TxImDXLjoz0RdMa2xFkE0pLqR9V4UizLVFLaSQbXCnn92H7zM6AiaM2bOP7C+Fl3EZ2v6XUtLtVCwX6xdCGhclciqVC5Ajjf2Pz1Bpr1M+APYNkO333rIO/90gyFSkQra5PYAhknDDY0LRfuedswetmm37V2+vSLiZyTW2ybCNM2CVRArGNz0dcJrbjFbGt2iagoeSVeKL+womqz5shuaxaFwpEOkYpISFaIFIFYVbjEOma6NY1A0Agb/PeH/zu/+abfXGFkFUKQsc20xNTGFjMjDnsWEgbGtxJ0noslLDzLp33qJM8NtXlmWCGlhYWFRtOO2wRxgCNdTsdtJpyEFgkSC5loRAJaKFxPkTRKxLUSAFII8oVBorkGI1Wfb953H0EQMFQaYkhOMTzyCJlMFSkUaIEtFSf0ViaTEbJU0daiablbKfPjgFk3w5SXZWNgIt9rrVpn4aHVEyldqq0BBsISvjdHvSxxskahCMFi90pDQdewiYlxkKFEYMZNLTSJBuVLXC9k5+sOs0mcQieCqGnjFRNse5BI1BEkCJWgAwn2Uh/MUgR+pkFuoEFzoYCIQ7TjGVXTNegqTUt6ncw4jSTpTJvZiNgitpsoHRJbgsbcZu7K1gjFc7zl5DspVrbgVDNo4J691xB7GYqNOkolCCFwVYjX0lT8HPfueSdvtr6HbpsXI04SqrMzFEdGcTMZpHSJ4wpRdB65R5kBcPPmhVZRx5cjwM5w2n49C7Ob8Kki4qKZBuq+OhfQluhVP/7uKRaO+QSxafeMZGZ4/dh+NheOmDtWpwAN+VFwMmgNp6OdtHUGv3qMDd/7OGLZRNL5ml6X81ItFLyQULkrkVSovMo539j8cwk066drdv3Bludx3reJN3/nNMOnA6yWJpaaoxsEX9+boXnN0PL9eWuODnfFRNEtMtOaQWmFLYxJ18SHGZRWnG6e7v3bFjZaakIVAjCaHV1RtVlt3Lkdt3tZJ0KLTrAXK0TJ2aorGk2sYw4sHOCrL371jCbgclTl6Z/YzWv+rkIyM4NXKiHcrJnImpumYgfsu90BYcy4YMSBQHSqPoLv1nzeN9AkJ2MCzAVVSoXlK0hcGod30e9fsR2HoFHnxPFjzM7OYluSpP0Y265+0CS1Rh5RIpCWwrFDWn6WRNhYqk4Sa7AdhBRoEizLx1IWiYSqFhTDOvPNeQhMG6klWrRqLYasElopKlGVtoho6O3cuK2CbbeNr1JiJmL6/sjcJg4xoU9yTG8n324hdSeYC43laZr5PFv0UTZGJwhjFylj/IEAywWtIrQ05lShE7RY/HlZ8f1SZnTVtiIcu4WyBxFxDFEAttu5MHbEigapIrTl0JWsFgkaCyvxSewaqBC0Q61eJ3RhlzjGdOUmGtrn9GDMTN4nGyQIXNMSwggopRR+u8lsboyjegdbrKPoRCAtC60UjfICrp9BqRAhHBznPHKPmnPm+Yxcbfwp3WRaJ0u7OoLSNpaMjIdlGRfSlti8Z4hNV9/O6U/+K9qnZ/ALPhuyU4tF17BhzsfxjU+mtp0fTO9loT2M0hZSxAzOT/H6qx9h8+23nPGxzrV9s56tyY9+/QiObxM0LqxycyGhclciqVB5lXM+sflnS389U4umPzPkoY0NnvvABFunFW6tzaRd58Bwiw25YQZXGSFea1qmKya01QlLE33Lyvq0gkAYzwf07tNt2cQqxrf9FVWb1cadYxWbC5GQKBRSSEpeifn2/LpaP6vxN8//DR+56SOcrJ9c0+T7rv/Xr2NvOcX03/4t8tQpipUK0nGId2ziL26Y5NTVeURzypxTp7kihMDCItYxswzzhTK8sxQzYkXYNliuJK4VaB+7lnBhZMk5xVGEtGy05RAFAVGjytbXPollRSakrPNcVWIRBFkKvkmbTYTdmVSJzFkIC98fJbFsgnYArSpzlTkUisRPcAMXS2nsSkg9mUVgfvFkLUEjmOBg22bL+KPkSy1sP+n9kZ8EZmmhtDU/nvwdfyp+maqfIxs0sJOY2LJp5zNkaPFjrW+C9MHVgEMSx0i3idJVEqsAMsL1OubZNRCi890VkGlPU20PojzfyBAVI4MQO6gTF0dQQqCEA1qQCKuTOaOx0SRagrZRaBJiNqomPx/6vLE4xYnSH/OD+j/moLubSFr4icaWCqUTEr3YWrITRRuL+eYQO7IvEjdd04KRgjgMCYM2WpTJ5/ZQKJwlsFCplf6RJRko2SV39+0mUsQk2sGWKy8RF9qWELZlRpC7O4LivmmhxmkjBPPjnKjv4O7jdxAmHr7VxBIJiZbMBhu5+ys13jY8v2Z143zaN2fbmmxZglMHK3z1D394UTJPzjdU7kokFSqvcs4nNv9s6a9rtWi6LE+ZfXI4xt5gs714I7uDKtPN6V6OQZczjQ53xUQ7bq/4uv6yTG90uJuqCqbiIuj9wl1etVlt3NmWNgjjU+l6XDZkNtCKW7Ti1nmJlVjFfOvot/j3b/z3fOLxT3CidgKNxrM8dg/u5n3eOzjxmX38cPIkiS+Q2ycolQa4+a3vYuF1Qxx44LcYcfN4gUc7bi/JY+iG3AVJQGn4jdz2+o9Qrv6QrFAc/fKDTB+okB8aXhZzoWnXa2zYup2J7TuI77qLbH6eTK5GHHe8F71BGEESO2wKppjwJzkutzHIHAKz6E0gCIJZanIDr9kwRFB7miPeJIVcgSAbsOPpzfhNH5IQLTQKE5EmE5BY1KaKPPPkKEP5hMKmBoPb6zjZyFRVEkFr1qPwxAI/xld45PW3M1vaQMvLIoViM8f58fbXuCZ5DkuYkeEYm1jZyCTAksn/n70/j7PsrOt98ffzPGvaY81Dz0O6O+l0JgJkRkAQAUFAjYh6UAyiXn+KetV7jqL84Hr0quegco4XBTkiDqgcIEIYFJDBQBICISHd6SGdnru65qo9r+EZ7h9r166q7uqkOyQoob955ZVU7V1rr7X23uv5rO/3M+D5Hfwgzfkoj/fWCZaTmufbFE4dwkYlnPIQRiPjNqzbRCq9/OT0iNU5qdYgUFgUghGryJxkoBrwpvY0qjIGusOG4DG8wmMk9lY+5n6WQtCm7FqkUlHPwlwmjUMrD2UN2QEPe7XCLxucNrlySBm0niGIBtiy5WeWibRr1ZEvLCtyVpJSb33zeT1QRqIzDHhnmNVbKHnRqs7nUzaWOJ9aaGgHLBzDyYAHpm4jNSElb5kP5ZFRUgmtrP+88t0nO755vNTkpfTj/HFBVPSfkpHQU82veabWJaDyDK8nY5v/RO6vF+Luej6X2fsn77/o1OIlMPHI3CM9LwvRvXxKZO//l0YhdA2yBAJjDZEX9bolZ3dt1soZMs4gkWQ2w5Mew4VhpJQMF4Y52Th5wed+ZQkER2tH+dMH/5SZ9kyvKzJaHOUHwhdy6sP/StppE1UqFDwfrTMW6ot88TMfZ+fQ9/W6PsOFYc40z5DZDCUVEpnzZ5yj5Jd44zVv5OqRa2DkGgBGvudaPn3sT2nOzxGVK3i+j84ymo0FZOAz8sJnkzQeor98DL/cQQiDs6st0R0gnIVE8Qrvn/hL76dZEIOUbItAQYZPw0YU3RwvDU/wAXuI4lCRxEvAOYK5MxBuBs/HWd31zshlsMIY/PkzaASt+ZDOTIG5BwcojSR4kSGLFe2ZCJBs5jB7Zh9lbnScph8iNkTcdNln0GmAUgYlLdopsPncKE0LRFGTMEpWvhFPXA5cKhGAitvLfyglSXmg9xxB3oWxKzZqui611vmUSbhi5zD3HvXpzxYpzXp89eRu5tMi2tao7phhenAcP+sQKktVWpqpxFhBHBUYmZ9m8EibRbmH/stPooothJdhrUDJzVy+69eWpclr1fmSjaf2wcd/BZ79Blg8fo4HiugscP3oF/l87Wdp1bJvaizxuOOXtdRCY1fD3/4QMycaLMRDRKp9lu29QfgRUSVakydzIeOb8wGc8xFcnXO0a2l+kyTBD3LH26fK8+Sp4tc8k+tpBSpf/OIX+cM//EO+9rWvcebMGT7ykY/w6le/uve4c463vvWtvOc972FxcZFbb72Vd73rXezcufPp3K3vqHoytvlP5P56oe6ua7nMPpnU4iUw8bYvv422bmNcl7woHMbmCcTOOjKb5V0RBKlNewTg4cJw73hrSY2d/Tsx1vB3+/8OgKtHruY3bvwNfv/+3+dE/UTPI8WRbz81KQWvsMo7RSJX8WOeqByOdtbmWP0YI4UR+qN+UpMy0ZjgC596PyOtIuXBITw/RAB+EOINBjTn55j61/vZ9tytHFp8lNHiKOvK63rS5qWU5UpQ4e23vv2c87f5qmv5np/+ee6784NMnzpGknaIXUq9rOk8q0bY+C3qLcNlux1OKpSXYW2eMkw3kl4AQmuEb9kjH+YN+i/4KK9mUq2jTYAvLNvEDN8vPsq2Wg1tsx7ILc5borkGungCUx1DqAikl1/0dZuyPExpsE6aSOo1R2B9nJN0ZvLPnelRdfM+Vj2RFE5P01cK6PSNIrFExSZS5e+Fh8BaSZoWEMKea077xG8UOEfJ03RE3iURMpeMy0ofRqp8X7rScQ+H6MLOpf6KBIpyjoMjJ/hY4350CUZnfa47Pkwpg4rUFLyMFz78WT58y+2c9scYpkVZpBSUoCb7CdKEF53Yx8D4emxTcOr+MZLBDBdojC3i5DaOHn+M225bx/bt2889jgtJNn7sX+H7/gi+9MfneKBsvO3neUF69Tc1ljh7/CIklPtDtl83wsbdg13QsoZa6LZfJv77d3UBWZcH41yXvCS7Em1F0jbn8GSeaHzzeETg4Q1lSn0BC9MdihUfL8jHxzqzGG1xDvxQrQIxlzxPvjX1tAKVVqvFtddey0/91E/xAz/wA+c8/gd/8Ae8853v5K/+6q/Ytm0bv/Vbv8X3fu/38sgjjxCtcfd/qS6+noxt/hO5vz6eu+uF1Frdliv6Lyfdf5Dm4bvX9Hi5cd2NvPWWt/KOr76DgwsHSW2KFJJQhfSFfbSyVg4o/EIOLmyKkoqhwhAFr0CsY2pJDSUUZ1pneMOn3oB2OVFQComHR2zjc/bVYplqTdHKWrnKSHqMF8fxlU+qU2biGTKTPSFoWRoXDUfDPfBnnCGay4jqEQtek8VmJ48ZKAxT8kv5RbBcYWHiNK8deBXvaL2n1/XZVNlEI23QSBsUvSJvv/Xt3Lz+5jVf+8xQzKefO8Xk8GmyVpvYN4yNGX5osEMgLJ1MYNsK5Us8H4Kwg3MSo/3c+0NrhDXIMD9fO5v7ebM+yElvCy3VT5/scGVfE98XdDpz7KmXWGgm6JEIP3EIC5gGYrFOJn2QPsPDdTZdOUGhkuRSYyvo1AJO7e3HnSjjrOh1KgSOsq9RGJomxFhBw0aEfoZSGVJZnBU9p1gpDVHYuLDuCd2ndVGGtWAzSUflpm44hzMaISV+pS9/mtbgeSAVFg1d5c8SWNkQHOJDY/tohQX62h0C49hxtA9rJHORJjQO3zmumDrE7ff8I5++6ntYGBih7UX4UrC7UOSqz32GjScfRYeS1GbM9G/GNBXKaqqhQ1YNU1NT3HXXXbziFa84F6xcaLJxoQ9+/MNreqBshCc9ljh7/GK0pV1PaddSpo83iD57kuGN53GF3f58ohc45N8vYqzEI83fJS/KM4rCCkkrw1lHp5H2nGbh8cc3cH4i8BKoqs/FZB1NraNRvqRYDbAmzwWSEorVc7vMlzxPnv56WoHKy172Ml72spet+Zhzjj/+4z/mLW95C6961asAeP/738/Y2Bh33nknP/IjP/J07tp3VF2obf5KQ7ifDl7E29SpixrRXEyt7La07r2XU+/+mSf0eLlx3Y184BUf4IOHPsiHDn2I6fZ0bxS0Z2gPb7jqDVTDKovxIqeap/jM8c9wrH6M2c4snvQYK44x0ZpgtpGbwCmpcC4P6tOcq25YKoejP+znTde+if/5wP/EV35vnKSUYqI5sSIH5vwlED2Q0spanGmeYTT2UE6QSIuPINYxE80J1pfXU/JLPWXOZcGmNTtRe4b2PK5cfKV6q11pkxQSfKm4vdJCYWnaAOkpjDSI1GI6EV6hTRi2yHQBk1qEsnglC1ZiM5dHw+DYoo+xdNpqHYHyFSpM2HOkyuyEJu2LWdjs4SQIA8ITuKzFwGibndfNoXyDjhVagykYCoMxO26aYUY72meKaJfbu/cHKcGYQ3odSnFMe6FCnZSNm4+DzY34ckO2fLFabeB2vvd0NY4RABZ0Jzc+08mS/4/IR1UOdLMBxQHwfYSQeUeSnK8isHgYfDRfG56lVagwmiUIZym2S5TaIcYzWCmYRVLUOQzbOXOczZ/9X5zsX881Ox2XffdPcfUV13GqX/KVD7ybuROPMTd+BVYoApdSDiyByKB5mtJYROI63HffP7Jly6+i1IrL+YUkG7dm4PBn8p/XcrDlyY0lzh6/ZImhuZjgbE5qNcaRJYbZ083z8jtGbno+A195kNmTi5RKFqE88AuksaE11UKnFikF99z5GAfvm+wBnifjT3I2qPIjRbuWojNLYy7GjzyUEhSqqwMFH2+bl+qprX83jsrRo0eZnJzkxS9+ce93fX193Hjjjdxzzz3nBSpJkpAkyzPnJTOpS/X49US2+WcbwvX7Pr+3fpA7by7zxfGFCxrRXGhZZ9k3t4+HZx6m/I2j7HjPZ/A62QV5vEghee3lr+X2Xbc/oRHdyudUwyrvfOCdHFrMk3mXRhOpS59wfx2OieYEW6tb2da3utNU8kusL69nqjVFbM7tyCzxZ5Y6KolJiLyI2c4sxhlMGGCFQ1kBCjzpo23GbGeWol/qKXMK1T5uXLfjCdOlzz7PS+qtalClltbwlMdG3zLqWdo293zxJKQRqLbLndRFhApTlK+RXt6tSGtF5h8rM3btNEI5nBEgRJd8mlu2WpsirSQKR7B+k2hBM9awZJHAbztSYfCEYuuVNaRnSNoe0gqssqS+wQCDBcvOG8/Qf5/HlyY3U97QpP+aBqovJ8M6K6jWFykfL1MotkiyIkprlJ8g1bn+KNauDVqWQIol76JUvSEazQTpx+hWP5G/g2DUIpVC+T6N2Rm8wSEaQYA1BrViUbfWIoREKkFlaIBD/YI+UUF06iAVfioRVuB8gcKRSEksFAWXG6wFwjE+P831l/0QW664lUZjL6XxRb5nz6Oc8Ft8ioiSyIhUTgwvVBbp33CIoNjqmtFJvnL/1wnHXkWnkdFvLbuJkOdLNk6bUJsAk8A9/y989X1rur4+Xj0e92Tl+AXI+R1dkJKr1ATWOMKCR9Ixa/I7hBRc/9ItfP5vY1qxISp6mI6mOR93ldSC8kCI8uQqQuuGXQMX5U+yFqfFQxEWfLJE02lk9I1EBAWfuYnWmiKAp9Pz5Kl2yP12rX83oDI5OQnA2NjYqt+PjY31Hlurfu/3fo+3ve1tT+u+PVNLSNmTIK+s8xnChceneN1MkR/41TtY3LPposIDz1f3nbmPd3z1HRxePIyxGf/l7zW1BUe7P2JMVShJCWGIrFQwc3NMv+OP2PJ3f4v08iC//bP7aOz9BpUObNt8DYUrbz5vDMDKrs2+uX08uvBozivo3nlabC9gsHeOnGPrJFQ7jnpBcGw8z9rRTrN3Zu85xNtABb2RkDSSSlAhNnEucYaeiigzWX5XbvUqn5aFPk29bOhveGhP5KFzIu+sdLI2ptlmZPNWRrduP+eYnqhWqrdWSq6LUqMEaAuWnNuTKTAFSV/mY2KBEIqF/ZuIok3svuVl6OYAJz/3HpKtdaLBDlnr7HPu8EJDvFjE74wz3tdmtj2DbGakvkEoQTn1Gd7kU6kaskQhLAjfEJUySjI3cBNAMgB6iyYQHYZumUf4FhtLrJEID7yBjP7+BZx0GB1gpUSd7RK39H4Cths8yIpHe890ULfgd+oQgDMBrWM78cPVo+dCXz+T+Hgq78I553rKKyklxhiMVGx41i708Y8TEOQbl5IssDjpEFYgVJf75PlgNJRG0KKANGA2lXnwwTfQah/B6TZicBFxXZHK8Wlo9OcgpTrDyPaHkEpjMh8nI6zTzDceol37Gp+Y8zkVS7YZwR0i5sZmE/q3LI9/0iYsHM/9UfwCVDfkDrDncX1dq55I+rty/LLE75BSLHs4LTWpHI/L7zhbvtuupzib80SKfcvdjbMJrRfjT/J4nBY/zL2a2vWM3bespzEXf0s9T54uh9xvx/q2U/38l//yX/iVX/mV3s/1ep1Nmzb9O+7Rt3ddiCFc+e8/zbY3/yLxww+yyINE11xD4ao9F50TdN+Z+/iNf/sNZuNZBILLphTr5zSNCFKTcLp5mg1yEH+hiU1TsJZ4716O/+iPMfcTL+WTRz/Jnk8eYmw2o2HgYd+nuH0H23/hV58w9XkxXiSzOVhY8iA5W6q655jl1fdY1s/n5qVawcQg3HmzZN9WyWR7kh+78sfWHMFs69vG6eZp+sN+Ii8i1nGPzBuqkGO1Yz0PmJWgweHYe1mdm/YO4HUMiW8x0iGtYG5mgmp5kBtefTtCyvOmO5+vw3KOekvk4KxpQDtQuSccS571mWdZ9FPWBf14osBN3/fLbLn8exFS8pU7P0ja7jD19UE2Pu8MfjFDJwpnBELlIMVkkukHB/FdSiksUewr0fLrZHHMjld+N819x4jNwwhhkFriBwavrHMre7f8fjgJC7tgbOMM+AbTkvk+CoEzYNoKVTZI5SgWDFa0YcXoB5at8YV0OCtzsCJsT4IMeTel4yAQYNEkCxU6p3aTLa72mwGwQYRWHpUwoFyp0GjkjrtL5XkeQRAwWB3MiegOou6K3K5mxCVNoeGTyNyBVjlASFxQIW52WHdVxFT9/8XoFp7fj7QSqxdJCgmbdnyNqceuI2sM0r/hUaTS6DQEBwaHcYJO5ih7juf3aT6SFDjkOd5eDfntuTY3Lh7PuR1emHdSrM5t8yvrcpM3uYJge/cf5Uqc83y3L0T6u3L84kyekbTy3sZ1kaKU4gn5HUvy3UNfmeTu/30YP1SERW8VqDib0Hox/iQXymmpDhe+pZ4n3yqH3G+X+ncDKuPjedjX1NQU69at6/1+amqK66677rx/F4YhYXieueuluuh6IkM4EQS077+f4z/243mPHMDzCHfuZOzXHh8grOS8yIE+/uLke1hIFhAIPOHR1zF4BkyxKyHsZLjGNNZJUConLGpN+8hhsrf9N17kwHOCdsmjI3MlCgcPcPQ3/zPb/uv/87j70h/153k/3cVaIleRFPYcs7zpU5ZCCo0IsgL4GjbPwJs+ZXn3SyG+PB/trEUG3tm/k5/81E9yvH6coWiIwop2u3MOX/o4HPW0TuRFPdda5xxTw4Z7r1pgz2MV+poeoZMY4VioZOzbM8dzhmLOdOMMjtSP0ZRjOFmhLA2hPk07a+bnVK2OODhbvRWq3IPlROKYzgTrfctiD6jAUh5wxy6yfvC5bLniexFCcmLvQzz4Lx/HGktzosSpfxtn/LkzhNU0p3BoQWc+ZPrBYVqTZfpGu1k6QCkq04ozdm97Flte9VMcP/BJjp/4PxGFFBsJTBekiCUg0iUlG9/h9+k8L88zuclrJvORkwPdVgRVB6qNsBZnV7T5zwqOFBicy+k0uaQ4/+/njkccyzyoZvwfk4Kj+y/Hr/Thr6HKT40FX+D7Pn4QMDQ0RJZlvSRoz/NoNpuMeqPLRHQvRGQxKMnE9gZb9/XjJxKpHMI4OipENzsEhQJjz5pD6xZB2L1ZsLkfS0E7UpUxsOFRFk9cTlBoYrTfe8+sc1hhkBgSK+j3HRsDR5hKppXgvf39PHehg0xbOSfFdEdBlXUQrhhVrCTYTj60Zm7PhUp/X/Hz1/bGL2FBnZPhZK3DCyReoNCpeUJ+h5CCQiVASkFY8M65TsG5hNYL9Se5GE7L6Jbqt8Tz5JuRWD9T698NqGzbto3x8XE++9nP9oBJvV7nvvvu4+d+7uf+vXbrO64ezxDOtlroqSkwJr+QeV6+CGhNsn8/p37919n4B3+wJkA4m/OiFby0VKd9k+PAtrzN2igKtAJPg/WgvwVYh/Nk3lZ3DiclCwVDdS6Xmk6PRSC73AilWPBSZH1+zRiAlbV7cDc7B3bytamvoU3eZZDIvKthDa++Jwcpc934E4DUh3kPBpvw6nss7738X/nuzd/dI+z2R/3cvP5m7p+8n5//7M9zvHacRpYrcSIvYrgwjC99akmN/qif23fdzpcnvszR2lGkkD2PF2MNZ4ZipocyBus+fgKu6FHduJ7pzgzv+Oo7aKQNZsQGatU30ZHDudm606jsDOX041TNUfpU36qIg+eOP3eVemu4MMzp5mm0c3y24XP7QEq/dLSdRTtBQUoiaehYCwMvzQmj1vKVOz+I0RoV+BSGFxi9bo6gpHvjhKztM/XgIM2JIkI6pFq+4K/k2Agp2dI3zkJsqBfBCrcMUshHIm4F2OhNczzyIEFrsEZgOh5kAqV8LN078RXSHbHESen6uzkrQdk8VdoBFloLAaXPbeQKKWiUMszYIoNjY8xMzeENBufwELJ2E1nqJ9UGZJYDlhXZRVmWIaWkXCovjwdNSp9OCUzGzKDBbFbseqyPoKOokd8IhMpw1UuuJpMfxFMrbha8IngRIusQ4jCFOpQaICzO+jgHtuucrGWcm/I5RwREMvcQ6nNw1PfZHwr2vPC3oHYy56RUN3TTks8qL8wlyu25Nb9DFyr9nT3d7I1f4m7nwWiLcL1pGMVqcFH8jidDkr0QIvDFZu58KzxPvhmJ9TO1njzZ4AKq2Wzy4IMP8uCDDwI5gfbBBx/kxIkTCCH4pV/6JX7nd36Hj370ozz88MO8/vWvZ/369au8Vi7V01srDeHOLj0zk4MUyDscxuT/WgvWYmdmmfyDP8SdpXhZ4rwkBw8ii0W8kRFM5LN+KuOOT2bsOZY///i45MyQpNxxBKnD12AlvcXKGYPzPVJn8g+qA1+v5h8o6dGIHK3HDhE/sv+8xymF5I1Xv5GBaADIvWCWjN22TsL6+byTco6kVUAzgg3zguFTDX7tC7/GL/3rL/GWL72FX/rcL/G6u17Hr37hV/nq1Fdp6VbP8aOjO5xunGYxWWTXwC5+++bf5iev+kn+7Hv+jD964R/xQ7t+iGpYxRhDYhMsloyMqWqbUyNtWoOSxKZUgyqHFw8zyTgzfa+jrcZwtonQCwjbQfubqA/+JHVvO3OdOUp+iVbW4r0PvxeAO66+g5JfYro9jRKKgTA//kcTxQcXAs5oRSQE/Z4gkDBvi3yiOUjH3wLA9LEjzE+cJqpUGNkl2fi8MxSGEkwmyZoeuqMIyhmbnjdFaX0Lo8Drgt4l99vB9Rt6HBvRWWDLJEgnWZ7U5HOfpZ/Fio7Iquu0AKkcfjmjWEpR0kepIs4qIFf+IBzOeug4zF1zBaQ6pBOXSZIImynSps9jXx+iHVq0sgw0fPYdG2Prc7+LoFCkOT9H1qzh2jWyZo35ZptW/whWKur1OnNzc8zNzZF2vzPOOTqdDsPDw4yPj/e8gnYNX0W7NMCs7xPNhew6XqHoHJVIUKpWUEOjJGGB/Q/djU7bSBmsOlbKoyAlkU0pqJSqSnA2P2+OPPsn8WNs12tECTBAbPOTFpB3kRaFgdIw7HhxbpdvzkMg10nuo1IcWvPhCxmTWOOIm1lv/DKysZwDi24nRXmC0kCIlIJWLb1gfscSoIjbupdkvVRLgGJgvHjRhNalzJ0gVLRqKTo1OOvQqbmo/Xsq62LO83dKPa0dla9+9au88IUv7P28xC35iZ/4Cd73vvfx67/+67RaLd70pjexuLjIbbfdxqc+9alLHirfwjqfIZztdLBxV8UiRO4dsfT/S0myzpEeOMDCP/wjg6/LVVrn47yoqEAnElSajh/6XMp/3SKxUvLRWxQ/9QlDXwuky7kTxmQIJ5FKYQaryG7QoHAg7VltfSHIlMt9YVbEAKxVN667kd+97Xd7ZN4lH5WBWOIbS6OwtqRVe+Al4DXa1NIOJa/EcGGYRCccXDjYM6DzlZ87xTqTZxPhCGTAzz/r57l6+Gqss6uk1alJSVyy5msuJovU0zqBDEitplN+KYYAoedwziJw4DKkWcCqAdrVVxDM/Dfm4jnGimO9iIOzDfYymyGFzDs9so9PpUU2OktBGGLncSqTtE2nZ+bXqdcwRlPwFP1XPoZXMGRthTP5RTRPKhb4Rc34dXPMfq5AJ2vjO4+42SAoFHscG2ct03MxnYk+hnzN5JZGL1tnae2xTnDCbacuq1Sos4Wjy1ZqSx0RCTaEoj9OK6uR6QBjNEJYnJNYk0uMFZIgSJDKIrBgFc3mEMf2VZmfzTt0QjkSabC2xLFvfJ0Xf9+t3P9PH2R+MSNxgqxYoTV6GbJQolwo0Wq1sNaSZRkLCwtUKhW01oRhyG233dYj2K4cDy605jj8rr+hIxcJ+iNqWtKqDmKD3LreyjlGO/sRqkmhsOIOOaxA3yZsaxLPJbwo3s/+1Ccuanx/DBOFLNZrSJt7zUTSMZ8pZtN8H1LyC3w/3rI/ylm2+dbBpC7TNj7FTsz4up3I8WvX/ExebFdj5fjl1P55jjw4k4OBxGKVO4ff8XgKl6czxO8/WubOk+kePdPraQUqL3jBC85BvytLCMHb3/523v72tz+du3GpHqfOZwhnO53lbkrvyWtcBKxl8YMfZOC1P4yQck3Oi221UDMzjMYOZ2H7Gctvvq/DP77Q5xubHe9+qeR1n7dcNgnKAtKReBZ/ZBhZKmHjOcDiBFgp8FOLtA4rBYkPvhEIP1gVA7AW8VQK2fNieWTuEb4x8w0Art5eIvrCHyNEmznbWI646f7X045MOmpd2smZ9hk0mpJf6qmGBGI5KLD7j8Uy2Z7kzf/6ZsaKY7SyFqeap7DOrrL9P192kHOO2MRk/lYSNYKyLQy2hxOX9lHaJtobx4bbSNKjvRDGpYiDlYvmfGeedz30Lk43TjNUGEIIwVyXyJqb+U2vMvMrVPsojzcYvGYvYV8dB4RVizOGrO1hspzommWKYDClNJgQ1+oQFBnZvJUbXn07m6+6luPf+Dp3/8PfUJs+g+uM4x9J2fxyjT+YoBOJFXCweAUfE6/hjNyAxsNDs47TfL/7CHvY2/sILpEx/eJLqZ/4KGE0g7ElrLG5IqdLilDS0qkN8Mjp3UiZoRoFmu1RnG4TuH354j6oKRUl/SJi/sRhIvkv/OCWBabNCG0T8lmzg9g5KmYO4Rfx+vpoNptond/ZN5tNtmzZwm233cbWrVuZmJig3W5TLBYZHx9nz9AepmqHeaSWoQol5hNNe3QcpEIYDc7RqlVot6oIOY3VglK50vvwuaCMdhXK/uX0veTnuJxJDsy+D2Na+IQUPQ9nMkIgcfBgPYDuZ6omHLtSze7+ncs+Kbf9cq7uaZzhiNrB3fEOZnUR60CKXQzHG7jt2LE13W4vdkwCy6OS0S1VnvWSLecFIheicHk6AcUSqJo+UWfqaG55Mbatj9HNT73k+InqyZznZ3p926l+LtVTX2sZwgHg+8ujnvN5kSuFnp7upS+v5Lw45zALC/kIyeaeFBkaZWHdnOOnPpHy7pfmiprffj3833/t2DAvaFY8Op4lEi02e0PIMMCikUBlMcUz+XjACUEmHcJXlK5bjgG478x9/MXDf8GjC4+S2Qxf+uwc2Mkbr34jN667ESkkVw1fxVXDVwF5F+jEto9SPbCPWqjykDeRgx1tNOUYTozAsZz/jcMx3Z6m7Jd7IMN2/8FBZrNV4COzGfvn9+NwSCSBDDCYZQnzCrCyiq/Rfb5TFQwSD93lJC61FrrlMpwo42QVHMQ6PifiYKWsOVDBE+YtCaBef5i2uJuxGw+DSLrnqruXniWoZKRNn8xK4oqiKCwnrk959ZbXsnvDNYxu3Y6Qkq9+7MN86R//Bp1l3YtuHhx4+mtDrLttChUaDnhX8pfyZ4gpUKaBR4bG5yRbeK/4Ge5wf84e9uYNFQfSK3Ho0ALzC9eydcsXCfwWRkZYq7AuxfdSjA1YPL2TfuNoCtGdMGmEV6BvPWy8fIpiNcNTEtw0yXbJ3LRlrLSOMSGYyIrU58sUpEY4g67NISobqJb7QVrSNMUYw4te9CKSJOFv/uZvmJ2d7RFsh4eH8y5LvYbWGVmSEI9uykGKzpanjBZOHdnBjj0PErtJ0vYCxcoQXqjQehHlldmy69cQg7cwCFwxtIPDh3+fZusQfSLDKjAO6mkeyhnjqGEpGcsdWYB88a8sq3i6YYBHPv0e7pocI3EeBZHieT66OMxUPT2v2+3qrkZCFBiUNBiriFNFEHmP29U4H7/jYhQuT2eI3+lDC/8h5MBPZ/fo27UuAZVLBaxhCNffx9Q7/ojOV75y7pNXdsm6fISlscsS58UsLmLrdWy73Xu+AHwhMdKxWHKUkpykun+LJPCLfPblFW6/c45Cx+CKksR1WKxNM9gSJJGk0LEEqcMosCK/bwwzEBbKt92KkDKXQN/9G8zH83k3r3v3/bWpr3GkdoTfve13zzGrW+oqZb/9VgYX2tQjkxOHU81gDHGQS5TdWWCtlbXOOi0O40wvEHEJfMR62QjOkRtGCbf2RWZl4OLSSfNtG1yWO7WufKDL7UAGCGcQtp7zY0yHKwevPG/EwRPlLe0MTdfP4zHSdBYVaUy2en+dFQjh8Aqalg1ROLRzhKMb+a7bXt2TSB9/+Os9kCKVQsquo6uGxVMV/H0Jo8+d4y7vNcQUuqnMeQWkDDDHAkN8VLyGPWYfBesjCkOkGGYn66SLAZPxlQxtepSg0ER6YKyk1R5kcWEdI1tOMhbOkzvGQJJE1BZHGRw8jecZXBZijQcuIxxImBuE+ak6g01BWxexCJz1qel+tPUg6YAQeL6kUAmxtsPRo0d54IEHSJKEQqGA53lorbsW9x/jxmcNUhpfpNkS2CBEGL3CxyX/jNTnRzn8yPVs3H6IUrRAu3WayFWp9l3Bli0/c074oDYNlCqiVJHEWhrxAiUv4dahlNacZazlcUewgRtf9puw/fmrxiph6Trujl5CEp2mEnld19ciPuA5R6PR4O6772br1q2rUrqh29X47oQHPnWUhcUKiVNIYRguNbj+hdsuekF/MgqXp4PQ+h9NDvwfbRz1712XgMql6tXZhnAjP/MmTh88iJmfP0fyCYDn4Q0MgHO9sUt05W7U4CDJ/i6xdeXf2dw23IsiBvr7WKjPsGlBcEtzHfNbB5jsh7t+sMDNnz3D4HRMxTjaap6ZEZ9qHCBsirAWX+cscAekoSTwI5p3f4n+n3g97/jqO5ht5xb5nvJ64YHaaGbbs7zjq+/gA6/4wDmmdaWbbmLd299G53/8N7LDBxDtlEzlnZR/ulmxb+vyqAaWOx5n19JYZ+Vj2mqUVD3eisWuAiNnb2flz845SI+gsjNofxPSdlhpWeYAJ8r4+jQiPoKUkr6g7wkjDpbGQUsOwQDXjFzDOlnjwMHfwugWUkVdJ04P5ZueYsOa/PWdEAjP5e6qaGZtxGuufnPvdZ213P33f43JMpTyeoosIQRSeRidUtnU4pjZzoTaQIkmZ++yAMo0OcMGTnrXc5mYJ8tmac+HzM1ElAsztLSg8egeCp7D81Pms348X3PZjvvwPAP4SNlGCIMfJJQrNZwFExfB+TnRUwukFlDJON43z8CpFkUX4+y11E0V4VQectgle+vUUl9o4xdh//79JElCpVLpLbS+71OpnKba92UWO3XW3ZygtWMsnuf00Z3U50fPGYvX50d4pLmBzYUziM4U1YHNPO8X34lcYY3vnOX48T/H6BZRtAEhBAFQiYZpZ21MMsVPbBzllu2/h1r/bJDynLFK5jWYCc8QRT6ZU0ineguBEIJCocDs7CyTk5OsX79+9Rty5AtsfPiX2TDUYmZ4D7HrIxI1Rtw+xMMl2PLHF+xuC/8xFC7/UeXAT2f36NutLgGVS3XeKt10E+v/2x9y6hd+Edda0T0QAhGGeGNj2FbrnPTlXjnXI0tC19Sr+2PRKzLvSbzEMZB4zHf/ZO9WwWd+GDZOKKqxoDg8hnSCH/3r08yXLNqXRFriOYGVEHuW0CRw+AD77/k4hxcPA8sW+ZAbvC2NNw4vHuaRuUd6Y5+zj/eqG/6Rr37xg/ztPe/iiJjtOdOerxSK3Px9+e54JdDwRJ4ULFcK7Nwyp+XsMENf+lhnVyU4C6BYv4vG4BuwahBpm+AyEAFWlhEuJqp9FClgZ/9OfuU5v3JBEQf3T97f66rk5nSKn+ivsc43lAsbMabV5U4rcmiYgXBIKTDW5db/QBGNFiFXbPtlbloRjDh15DALExNLmp6u5HgZYBWGY6L+lMWsHxP4eLaZK3Ukyx8W6I6Bysy0Jes4iU4lc0eqXHntFykW6wiZ+6h02mUWT+8iaVbZctUXUSrDmAA/aObQ0Yku2MqTfFXUQXfAprk6qKQyVGZoFRWNSsB4Yx6ZlTDK4C91ukTXYVU5tM3w0yKNRoNCobBqoS0UjjMy+i9ImZJlIQV/kKS9QKm8wGW7H+Cx/ddTmxvpPV+ILvADdKMfFQfMzHaYOX6Mse07es9rNPbRah/B88/1PSr6RYxchzFtWtWIaheknN0pmGueRmdNWp0s9yMSAuUHlAYGCKK8IxTHMe12e/UHZkUis6iuY1TMw9I3141fkGHc2XWhhmudRsr08frTsmD/RwBL56tvhRz626EuAZVL9bhVvuUWNv6Pd3LmN34TU68ji0VEqYT0vDXTl+NH9mPm5zEj/ZiFRfzU9egUVoDoypwDLSg6n0wmtIrLzPbZziyZMxxbr4i8iM2VAXYcaqKMIyvkVBkb+UvuGXjkeT3tdoMzxx9Cu7x7sVYpqdBO842Zb6wJVCDvKu0b7vDlTW065twL4dmjGV/5OON64Yhn10ruylKnxeGQQqKkWjPMcAmkrKwoPYC38H7qlZdh/HVAGdD42UmK9bsoZo/yw1f8CL/+3F+/oIiDlWGFSzyVPlej6GrMJgrpt4lkrp6BJYDh4ZxByQApNK67n9XSDvbsegtDg7f2tn9i70N84a/fS9JpgXNYnfuuSOUhpex21gxCOcpJE4VG4xG4DGe6LytyT5QlYm1/OAepo3mqyPDOaWQk0TrEZgIpLcVynWjHgwSnaxSKdbIsIAjbXZDSPScr/VZwqCBBUqUkOwTW4CxoAZkvmTVbKbU3EpdPo4VBofKz4QyGDCU9wniYJJigWCz2ohM8qVg3cC9SpmhdxllHUCiTttukscOPEjZsPUhtbhjIgY8FUB6hc4TOQDeMslOvrXrfsmwB57LVUuYVJWWA1rX8eWt0CuLGUToz98L4GAiZAzcl0GlCfWaa6sgoovseFYvF1RtfkchsEUxmZdo2oChTxr0m8gkM49aqlQoX5eeW+844hMrHa0ZbrHXcf9dRWrX0SXNHHk9R9GQTly/Vt64uAZVL9YRVvuUW1v8/v7dMtm21sGukL0POVUmTNmfCNmZIMj7r8LTDLvFKnMG3gNYMpAGPjsA3+utUdW4RH+s4Hw0IyXBhGCEEi6FBq9xnJfNdLs/tLsbCOUqJwGlDc+YMYsCdc1e0VKu4H+ep9+19H3/ywJ/0pMtr1Uri67XD13Lbxtv40ukvsW9uH42s0XueL/I7tNSlPQmzQPTGQxK5rP7pkj2XCLYruy0CgUJBvI++eC/a34L0+hGmzjqvg/IETVfgGzPfwDr7hEBlZVjhaHG0d776lMQXgra1zHZm2VgaRQiFtVkecNddVINgBCE8smyWYmE7z372PyDl8qXkxN6H+PR7/pS42eimDHeBl3NYnYGXnxcd5xb8m90R1pkJTqnN+Ha+9y4JmZ/ppquw0Z5iQ+cMTloGdtVwRpC0PJyfg1JrBWkcEUQxfeMnkcJgkChpV1nrryQhWwEqEBRLRVRtEaSPRSOsw88MLVMhTKusa7WYKzRIfEcu+hVEosKQ2E6qoWVPcbJ2ksQlOBx9xUWkN0Omw96UTipJZXCYxdkZTBZQKDcpVmu0GgO5f4zyUQIGTIKgayDXNcpbWb4/gBA+1qYotdrGwTmH1nWcM6TpHNMnaqs6Bc456tN3IzoNVDaMCXzQOSpUnofRmubCAl6pzNjYWM89vFfdROYjZpy761tztRC5n/Gw1+a20jG22wPnNYxbq5YULlPHGzjjctt9l9+QKC+PmMBCfS5+0tyRJ1IUXZID/8evS0DlUl1QPVH68lLJgT6aLkZqiwgDGn2S/sUs9z+R+cXSOoup1wj7+tn4c69lp38PR+tHaWdtHI5IRYwURyj5JQBOjCsmhiSbpy3z3jI3JIgN5YYmSC1GwpX/+wF+o2L4p5vh4LZz3UWNM3jC4+qRq9c8Rm01f/HwX2CcwRc+mTv/HZRE8rrdr+t1MH78yh/n9Z98PYcWDuUBhAKcyLsvnvByu3wcA+EAiUlITNIDFbv6d/GDl/8gzbTJnYfv5Hj9eO8YJRKvCwJygAN+dgzf+BhnqJkg37Z17Jvbx+s/+XrefP2bV41+nLM0GvvIsgV8f4ATKb2wwpXnKHYeBklRWiLXpN3pdDlGptv56dqhYzGmju8Pctll/ydSej05+EJ7gcMf/BBpp021UmAxbpDZlb0mgdX5ItyZjYgXA4pDCS/vfJS/Kt3BghykZJsEMiXDp0mF0CW8vPMJbAxWeURRhgWEtZAl4Pk4IUEIdBYQBJ2uIZphJZ8nPxkSJwyCPOtHYdGmmY+0hIdWUG5pKg1NzAJSaPyswmZTIB4YwngBioBIVDGZRbs2C2IBL5VIXyKkIPQzhDAk2qKwBL6P7/ng+/QPj9BYmAeR4kca2h7gkEmHYmMeLwpwUYG42VgVRrlUlcoeSsXtNFsHkDIPdLU2RusGWjewNkEIxWNH/jvK/SN+3wtR+joAss4ZdDKL8goU6g1aQwM4T3U/hwKUIjOGSMpVnjC9Kg5xxK7nrtrlJHgUZIbX1eNN6RJ31S7nFVGd7ecxjFurhBRsunKQ0wcXsd2E5a4pNVmSA1w/VE+aO3IhJNmLTVy+VN/6ugRULtUF1/nSl4Fers/RYw8xV7IML0IjcKSRYrEfyg2Nl1mUBa0ccsdmNv7/foUdN93E9e4n2D+/n4emH+Ld33g31aC6KitHeT4fvUVxxyccg01HUnJ4OqNvUSMtGAHzVcloucrWmRZ3fDLjvS8jt+rvjluW1Dg7+nesmT7srOVf/+U9bDtYo1WQHBk/f0cFYGNlI9+3/fu4Z+Ie+qN+Hp55mIPzB9FW90Y9Kz1WlMjv1KSQFLwCBa/AaHGUH9z1g9y+63YgDxeMVMS7vvEuPOGxmCyihMrt9s8aBy0BvsxmKKkQMk94PlY71rPQv3HdjczPf5njx/88T+R1GUL4ZGqQjapJU/Wv2uasKxI7jyHZxpHnyEih8ntmlwEa5xTWGsqlZTXKfd0coqP1o5TmLM85HiJ9iWyklBTUjY/tTQC7cm6j8YKQcnwDztzNVd43+In2X/Dx6FVMeetoixIemo36JC+PP8muzsPdkVkXekiXE3m1RWQxssvxcM4hfEeaFvCjNt2ZW89OX3Q5PwBeF3Sltk4a5qLpwEi2NMcQgyOMGMtAZ4HZeJwSixTkAMhi7/zH7Yy56AyPjhxk9/RuAh2gPU2mI5yTKJG/R+VyuYeVgkKBkivSrrcJJhcozGegMzydgHXU6gI/CilU+npGeStLCMmWLT/DgYNvIY5PYm2GtQms4Dr5/ghKlUiSxxjcc5zGY3fg2tdgdLvbjfTw45TS7AKdvgou8jEi/6Z4WcJN11y1po+KHbuGu931JFZSUUnPscDHUCrPkyjDfXI7W0avYu3h67nlrOPkI/P4kcIYi9W51xIClC8w2nUJ3RfPHbkYkuxKOXBYyJ10dWbJUkNYfHzZ9YUe5yVS7JOvS0DlO7RWBgaerztyobUy14ekxVCiCVNQ8xnNikcWSOp9PqWmxniCu55f5KW/+AtcuSkfGS15fOwe3M3nT36eQwuHiLyod2GJvIjD2wu856UtfuA+2DplKLZsb8GRAvrbgqCqKK7biJ04yfffY3hki+hdvoUQ9AV9/NKzf+mc0cjS/o8cepif62iMEpwedF21jzyHe1JURSZbk/zCZ38h5xc4SyNt5OnMa53rLlASCCpBhVfveDU3rb+pZ0K3cqHPTEYn62CxvU6MFMsjIsi7LEujKV/m7WiLRQjBUGGIRtrgvQ+/lx2h5mBXweP5/UgZYG1Klp7i5eUmn4+LzLI6Kdg6syR6xlqDFgaJwBO5zirwh7hs+y8zPv4qpPTO4boMo5AupeNSJqRjfaCoSksrlWi7lNYMAyV40Zt/ky3XPpu5ve/i0SPv4jn+Q1xvH+K42caCqjIgYKj+GKKrlnKQj3GWSNnCdQEVXedZgRdYrPNo1QYZLDa6AYRuFTn33JIIYXpgJj+xRYQP14/fw+ePv5SWGyJyAcq6rp9FSjB4lLmNdzJcbTNZOMPQmWHCJKRTG6bd6aNUWqBuU6xaHk0460g6c6T1iLLaTFiJaS0uoF3+ObE2H2u++I0/x+ar1naIHRy8hQ3rX8eRo3/cBSkrj02RZQsoVaQQjZPFpyis/ydaj+5BecV8ZOo0CB/VTujLMgpjFYwQuDRBtJtsv+yyNV93cmqKWTFCQc4gXAbOo1CdpX/DowSFBkiHcx5f+ep/4vJdv3iOpHplLS3ck0dqzJ5uUawGvZBCa3PCtjWO+lwHoy06NeeMZZa4I5NHamsCgIshyS7Jgb/84cPMT7S6yracv1MdKvDN1IWY2V2qx69LQOU7sM4ODBS+T7Bt2zl8kwvd1pm3vhXbbOVutOWQ1mIbZSy+thTbGicERgkmNxT41+f38/BW+JHiuV9QKeRyoNtZZmSe9Diwzeeflceb7uwAYGT+rwQC7UgnTsPYIMHAIFsX6+yeiXhkNMlVNyJv6f7l3r/sOdSevf+iWGBBNfC1Y/MM/PSnDO95Kezb2pXbLvmimBhHnojcH/VzvH58FUhZKWE+u+Y783z40Q9z1fBVPZCyitQaBgQqYKo91csiSk26uh3d3e4SSFkaa0VeRMErIIXkaP0Ijxx+B6xM5AWUiihGGyhkj3Ktf4bPZINdHokj0JMEQUrNQFGC34u9dRjnUEKQZrMcfuwPmJr6KJu3vIn3PvxXq7guJjIgIbCQKpgVls2eYsCzZAYyA8bCy7dOMj6Sn9ehq36Owd0/TeP4nWTNU1wRn+Fw+zN4qkzNk2TJ8pm0WuCMQHpulfLdOIEnLH6kaSUl+oemsDYn7Up5LmF5xaeOIBjCsxLRmCTzLMf7awy0fYRO2ciXecGGDg/wsyzULUnbUBjez4ZnfQJVOcXzzCJOKGqFaR7sW8ep5ihKKzTD3KAWKMoUrds4lYPEJJ5DJ9A8vgMhJEGhSBAVydIEawzWGpyxRKXzjxmcs8zP341SZXx/iDSdJAdbqvu4Jk1nKBa3EhYGsWaSzD2KUDvwwmGyzhRIhRSCMFKoJCX0Jc36AsNrjJuWqt1uY6WP178emtMUSqcYuexhpNIYHeJciHOGOD7MgYNv4YrLf4fBwVvO6SYk7Yyv/8sJFibbZIkh7WiyRFPqCwmi5SUpS03OrbEOa8/9LsXtjLiV8ZWPHkXIvFOyBAA27Bpg8kiNLDF4viRLdFfxJXqAZy2SbNoxeKHCDxVedwzUXEyetJfKfzR/lm/XugRUvsPqHGARBLg0JTl0iDNvfSvr3va2CwYra+X6RICMIma9DoN1WBwI+MJLxmhVPM6si5iKZ9hV3XXRZmR7hvZwy/jNjH/o3UhtsSIPMJQiT0DW1iCMJpueZmZA0p8JSh1LwSvQH/ZTDsqkJl2VLnzD2HNX7X9VwJn5OVI/58IMNuFV99i8M7OS5oBDSUXBL5CalMxmve7H0uNrni8cRb/IQrzAnzzwJ7zvpe9bk9Q6EA3gS58zrTMsudMaZ1BC9VRH1tmccOss2llMsA2/tIWmchSZYNjMksZ1isHAmneTxXCEETuFbJ1m3pVZjBfZ4jdRZUfNCNpWUJAeoXREIndR1Q58KZHSp9k6wMOP/F/YNvSFQ73XaA9K4oqjsCAx0pIIiHEUEHgSYi0YKRvGCq0e6dI5S6O1n6wzhb/vkwycOcHk9pRmYZFAhGSs3n9nBdaAF1gyJ/LZn28ICxrP5p0WKTU6C8iEJQoSpFz9niw53CIExrQIClsRMsRrTdIKEhpmimoaYEf3IK98Pbv7NpE0QInHmG3+LU50sLJEo9UgQDAoOjwvPM6/CZiwVVpENDvreJY/RZWMNJ1BCJ9AbuLYVw0qHV/2jBHgh2HvO9VaXDhH7bPyO3f84D9Trx1AymLOLcnh2Ir3V2FtgjEdwqiAtXUG1mlmD1uC4g1k8T/jTBMrI1p1h6i1QSQUKqU1x01LVSwWkVKiZYA/tJ3+dV9Beg6tqyBVHl+AwPcHMGY+HzlO7eLr/3Ky101wzpHGJg8n7AvxfEkaG3Rqac7HlAejHljxfJkrkqw7xxi7VUto1/JwxaSjETIf1Uwfb/CZv3yEYl9Ifa5D0tYk7a4DtMg5McqXFKsBUooeSXblmKgyGK36zjxZL5X/qP4s3451Cah8B9X5AgNFFCHCED09zey730PxhhsuaAy0Vq6PAIYLw0y0JmgUDeV6RqOsOD4uqcUzPYv2CzEjOzurJ9m3n1P1vyYbCGBmDiVzAmVms5y4KsHTEMaWRMKU3yGzEUoqUpOiraYaVKmndd778Hu5eq54zv4PF0aYbk/hRJ6avH7esWXScXTdsuGbFJJQ5YqOZtbsdWzOg09W1XRnGoFg39w+XnvXa5mP5+kPz/XEKAdlNoqN1NM6P33NT1MNqvSH/Uy0Jvinw//Evrl9aKdJoytpV1+B9dZTEx4SQ2hm2CM+juThVTLWjo4xVqOkRynoA9NkQ6HKgdlJjDM0pUA7gS8EmYOONZSl6xJP8+6KA5QqImVEs3OKG6KYT2cr1CFCMLFbsO0rjjCRxL7N5b42BymBctywsYlQeUpvj0NTfwTTWYA+CEOf8bhKJ2xiggSpfYwWCAV+ZNCJYubAAJWNTQp9KaKbDSVjw/aphP1bfJCWwM/IpdX0xkai+7N0IBE4obA2xdoYFVaQfgkdT5B91+s5Eu/m7v2TzP7bIaw9gJSCy6/4FMVik2JxPUIIwniRWMdY6VMSGdf5Z5hIKjgH+9qGbOBmbr/2F9DZIr4/QHsmZO/c7+EXMvwgPOfzoc+j9oFcTfWVOz9IxzzM6HNq6E4HL1J4xRycLZOGu++VM1ib4vkht/3Qc0gWt3Bq/wa+9ilBe/4erJkHl+RQWA3jF29FepvO+9kdHx9neHiYqakpSqUWQbiIsQUQS8orh+97BH6AMf0sLhzikXs+SWd+C8VKgPIki9NtTJYrsax1vc6FzgzGONr1dFVXRXoSz3XBiBAoTxK3sx5IERKUymXWRjuM1iRtaNVSzsK3uZrIgU4tjbkOfugxuqXCyKbK0+Kl8h/Zn+XbrS4Ble+gWgtYLJUQAtXXR3r0aC+354lqZa7Pyir5JdaX1jPLDLLTQc/P0x4p9SzaL8SMbGU2zdmvF42MkNVb2CQmE67XZciN1aAUw2Pr8mweZxJO1E/kkmfyDB9f+hxcOMhR/Q38s/Z/uJArFmY602SepRxDtZMvAkuSYelg0+mUYusYqgAzYxZ7Ad4lkPNLlMhdaieaE8QmpuSXiDg3MTz0QkQm2Frdyq0blj1KfnDnD/L6T76e/Z2AVv+PY0WE5zpI18Hi0ZKj7C3+Jw6Iv+E6e5pa1mExXuiNp4QQFJVHv19AeX2U/Sa+9JlM5pnVmnHfUDcCXziUsD36aX6EHlJG3UWjyrBq0pfWaYiB3v41NhY52jrO2GMlCu0AbSWZgJGS5YYtCZu9aRjew3zY5sDB3yKNF0kWO+jMRyhHHBrqqsPoZAVvtE1aMCgHxgpatYjT+4dZnCnCYyX6yhrdn/L1HTX+82IZU5pHebkqyLl89IPIj0AItwxWAFQuuQaL63bDrEsRXpFp73I+fc+BVbb4nncaIaZptwM8LyUMwxyUN8+QWU1HSvpETMUucriTdkH5G+mrXtM7N5WyZXD9BqaPH8WVKzhrkErhdUHL+dQ+S5LvtNOmsqEMKKQHOtYI36H8XGYseuO6vMui9SLl0hVUq3ugIrj3zsdQ/mbGdu1Ax5MY3UZ5RbxonHY9e9w7fNlVA911110k6UnA4FwhJ3Z3eSXlcpk0MbRrGidisnSBtLMBaxxh0etxNJx1tGspfaMFin0BjfkYrEOnhizJQUnc1hTKPnuet56Tj8z3rOTjVtbdnxzI5J/p/PNpVnLg17hxyJVFYA2YzPKsl+Qk2afDS+WSP8tTV5eAyndIOWvpPPggttVChOfeyQH5GKhW6+X2PFEt5fq4NEVEqxfakl8iihSprvH6W36WyjXX9cijT7ZWvp43MkJy+hTCmJx4h0N275jOzuZxXZakkgonHInO5cEPh8d49hr7X/AiPOEhTIZRjmZB5uGAOPYcs7zmHsP6eYdnQCvB6UG482bX47Ks5TgLy+ofiwUBkYro6A4z7RkqwbmchCVuzspwQQBPevzCs97M6/eeQBMQ2hpSSJyzONchECnKW8+H7fexvvmbLGQaZSXSCpwEPFA25kjbcV/tDEOFIRyOxXSRzzVCfnCgQ1U5tOst473IAukP9kBuwa8QSIXVNdySU2rSgOY09f4Oh5/d4OoFyY/OZZQqfYxUHU25wFyhgPecV3Hs+J+RduZozxucyd1hhRWYjkCVNNNjDQIBvnQkWpC1fE7tH6I2W0IYjZd4NLTk6+vrDDUzdtdrPLClAMIiba6DWUpdWiopuj65YplJlC/wXteHZJFS6XLuv3/qHFv8MMxQypEkkmazSRiEOSgvr2O2M0tiYgIM0rXYNbBnTVAupGTrtddz+uAjxI16z+lWeh7K89ZU+zhr+cqdHyTttCkPDuL5NWwWoKIOdCJMx0eqFKQGFM4ZpAwwup4HGm75GYSQTJ+o9+7wpZQExdX2+Bdyh799+3Ze8YpXcN99/4hzEmczHB6+71EulxHOozEXAylCeThTycdFqcVkKc65FR0Qi84sQeRRGYxo11J0aug0MvxQrcq1ue5Fm3vk2/s+epQ01gjVfQe7mV5r8VjWKufACyReoAiL+RL4dHipXPJneerqElD5Dqgl8mxy6BC22cS225gwxBsZQZZKvee5NEX4fi+354kqunI3wbZtxAcPoqrVPMtHqd6ib2s1Srt2sfv5r3tSiqKzlUnhFZcTbNtGcugQ3ugodmyIbGYaXzuUzUFKO4J3vzJg35bVQGFlGrEnPbTVfFTt5ebu9kQYdt1lc3dc6wyDsWRqXQG3a5yNWLYcqvNDn5qlkEIjEphiPmraMuN406cc7+4Sb9cCKZADDEsuKRYIamnOQ4hNzHxnnsHCCnWIc9SSGrsG1ubzFCtXExZ8XLqAcRZtLUJAqCKGi8Mk1nE4HuBwtoUr3BFMnC/M0nMIaehYyedaEY20yWhxDIEgVCGHkpgPLxR5QSVmnW967IfMCVIRMRAu76O1KUW/glPlnPwsPILGFKmz1JSk5ODHWWB71GSuNM/XtlTpFBT4AjH9TjLdQLcFzvhI0dWkIlC+Q/k5mEtaHv0+GGsIqhmXPecMx748Tn0qollOOLCtRjzY4Y75Fq0wI1Y+0sqcv2Ttmlbu0uVqMGtSkAIlizgHaTqFUmUq5duZnX30HFt8Ywq57FhZtNZkOsP3fUpeiSD0iNMaTqT83LN+lWs3vWpNUH5i70M89JlPoXw/58dkOgdIaQrOce2LX3qO2mf62BHmJ07TtzWlf+d9qGILoTTS08hyEx2HZM2AsOq6MnKBUkXK5dWBhk/VHf727dvZsuVX+cr9DxLHh/H9AQI/70ouTucSaC9qES9sIKltzsczQmCMxVlwsoeAcV11TRB5CAFJW/Ocl29lfHvfKgXPkpV83MzyTkpXp26dyxU658Moa3j9hSWfUjWg08h6x7pkPPdUeqk8ldv8Tpc3XwIqz7A6e3E39RqTb3sbttlC9vVh221ckmDjmGxiAn/9emSplCtHarXz5/asUUJKyrfdSueBr5EtLHTZarlxlFAKVa0y9MY7nhRIOZ8yqXzbrWSnT6Gnp5GlkNkBRSFxRG1DHAr+4pUhB7Z5CJOcQ2p1uJ5CJlQh0/EMzR95I+F/z7en+vpIpMHGMQMdRycQfPK2iLaNaSZ1Xv+FBoUU5sp0xwmC1BPMl2Gg6Xh1l3h7vmygpVBCyLsuwomeR8pUeyqXUId9pCalltQo+mW+a8dP8clTe6lQ55pqlb7qVQghmU81UgZsrWwgtUmPexJ13Upn6sfRJuTYvs1ctukkxYEEIbvrgxWommKoEWC8Fo20QahCSl6JxCQcTOCxtMR6X/MD/R0GlaPhfNaXl7koS92HgcpufmbHz/K/9v4vjp75KnXh8KRil4U7Furc2Ik5viHiyNYCVjoQFmwHYS1OgIgc0ljyTIQ8D0hGuud9Yq1Aa0dVQrM0SsefpXLLJJ85GlIeitnjNC+ttbihHTM/EICAILXEYVcOtgZoTLMQYyV+GIMFYwyIBn3VfGGfnx/F2oN43urLY5KMonWZIJgnTQtYY0l1J5cXpwleISWtlXjsS19l6NXbzwEcKzsjff1VhDNk2mGtQeBIkpRjDz3As7/v1au+M516jWBojqGrjyI8g818bObjvAwVxniFBJtJpOinVN7EyMj3MDh4K5XKnp6DMzy1d/hKeVy+6xc5cPAtGDOPsf1YrbA2xotaOBMxf+hl4GQvDkFKibG2NyZCsKorknQMwxvLXP38jeddhKOyj/IlMsu7MU/ICzvL7w/AU7I3glo6ViHFKi+VqOj1FDpxWxNE6qK9VJ6qbV6SN18CKs+oOntxx/NwXXdRf+PGHNGPjKDPnMEZgzOGbHoaf926NXN7LuT1Fv7hHxBBmOeGJAkYA1rjAKMUc3/xXoSUFyV7fjxlUnb6FAOvfS3Nu7+EOHqUgbYgwXJkveSuW3wObMs/0kqoc2zwnXNocl+S4WKeNvvQJstlv3A7lX/4NJycIm0uULCayT74wPMF+8YXoQXbzjjWzzkaEb0LX89Kv0e8he2TgqPrZS/bZymwcOXzgeXfd38lhWSuM0dqUnzlMzD4QtqlF/L7J1Iyl+ChWS/28briP/KqHS9nMLgOXwgS686+DhObmNhY/NRSituo0GC0RGuBNfmdaFgwvDiYY6Ljc7g1mR8HotcN0s5yLIFP1Ar86LBl3AuIpMI5i7UpWi+iVLl7x34zN7iA/ftfz2IQ0W8tu+dPIZ1lrj/ogpQcoyx5miypqIQEr6DRWf6+Cc8hVG76JQT5HbiwEESUC0MUpKRgT/OL22NEIPBw2JGIB9s+I3MJohuEKSC3pj9rIXMAKpd9d2pD1GfX0bQbkKqfF73oDQwO7iCOJ/Jxhe7yVqylXD7F8MhX8f1FpEyJooQ0a5M1JdYIvKIB49M4dhm1E8f59Hv+lO/56Z9fBVamjx1h/sRjRKaBWJwCa/G7poAIiUAx/+iDTH/pg4w977W9v4sqFYZ2nwalMcnyB9DqAKt9VNgma4fs3PJWtu5+2SpwsrKe6q7B4OAtXHH57/QMBbVOEApMezOdie8nXbgMaw1S5LyoXHWT/63RDi+QKCXQqbnghXtkU4XBdSUmj9XzNIOlWuO9XlUrHlOBWPNYl7xUlkBB0tZIJVaNoC62vtltXpI353UJqDxDaq3F3TQamEYDpMS124hSCVUuw7p1mNlZbJLg4rjXSbkYH5WVCiJ/40Zsq0V2+nT+4JIHttbEBw9elOz5QpRJzbu/xKZ3/znJgYPUHruH9x//AF/rn8fg8JzDCXdONwVyoBB5EcOFYVKT0kgbvPsb70YIwa7dHV450WTYGqSDgRa8+t68A7Bvq6TacSgD2RreT0oqtKfxYih3LCDxZc709/GJTfyExy0QRF7Em655E7Z4Ne88lVFLmlRoUsaRCY8TbgN/0hokfeR9/ODun2REhexvxQgznwMjAYEMKfolrCgwuDjFs7Z+A+U74tZSwGBecQeiguElhYzDiYSuzFsgep2faljlB6/7BZ43spETx9/dXYxqCOGvcqYFkJ0F9mQZhINQOwrO4qTPkS3BCpCSvwt0FTd2SVmrHMLr+pAtZQcKsCb3TBG+hPIoiHzc5JTDiwRB5nIuinA0S4p2VMDPLK2ih5N5QpJwetmDhZyzouMSM0euJWn2g9XQt5laCl/60pfZtm074+PjlEolpqensdbS3z/J6Ng9KJWhdZEs8wnDDpDiFcFmAbpZpXl0J7YxTHnQ0Zyf4yt3fpBNV17dA/6dQ3dj2osUvCx3KVzpNuwMnpQkmabzr38EG8Zh+/OBPGU6HEjRsco9elaNMwQ69vGLjsENm84LUuDp6RoMDt7CwMBNNBr7mDl9mvs+MgvpdrzAp9inaczHeRege0mAXJ7rjMMLFJ1GdlEL99IxfPZ9+8liswxALhCkSE+QdAxhYW232Y1XDLJh18CTHrOsNaJ5stu8JG9erktA5RlQ513clereljr0zAxBl4+iymVkqZRzVebnGf7Zn2XgRy+OR3K2gsjMzoJzPQWNsxanNV61im00Llj2fKHKpOTAQQpX7eE5V+3BnLma2lffwcGFg6Q2zeXDMkQ7nVvMC8VgNEgpKBGpiFbWYqo9hRSSvrCPLY/WefXH6hRSR70AmQe+hs0z8KZPWd79UqgXBFrlv09XdcYdxhp8DVpBoyBzIu4Skdct0Tkfv0etnaaVtthQ3sSfzhWoZ3UGWUBKL1/L0YQ0mHNVPqRfwM5Df0hrZgO28P042Y/vYoTL6BhD0xk8nXDr8U9TuiYhSSTH1XZaskLJNthkjiFx6EQyUjI8q3+E/a0WiUl6pGOBYENpA7fvuh0pJIMDN6/KCzp7rEBxKA/1ixfZLzWLxQKlSNAJz5ZtL9/6Cpd3PYQA4VmcUbgu0RgHpu3hKYk/uA7C/M43NYu5ciuzqG5bRjmBzCANcl+ZpYV8KehRiDyA0DmJTkOUn6KNJNUCicJTHoWCz+zsLJOTk8RxTLPZ7OYbOTZs3ItSGUmSo1SlQjw5QKc2hVfQmE6RuQduJBG5Fb0SjrBcYX7iNNPHjjC6bTuN+l70xPspDBt0rYBv06Wd7H6MHNpYpPIpuCbc/Uew9Xkgc+VOUAjQHY21GiFVL2TQWYOQiqDgofXi437G4OnpGgghqVavplK+in2lB5ldbFHy3SqS7FIKslKCsa1Vrv/eLYRF70mBgY1XDHL1CzZw38eO5kTafC9QniAsenTqKb1Q8rM6LUHkMbKx/LjHusSHWQIdJ/fPX9A+PtGI5mIlyJfkzct1Cag8A+p8i7tQqkcmtGmK7XSQhfxiK4RAKIUslShcd91F80hWSpNtp4NNU8TKmb4QYC1Ye1Gy5/NJnnubXUOZdOO6G/nAKz7ABw99kA8d+hDT7emetX0raxHKkHJQJlABsY450zoDDtaX11OQIc/73AyF1HW5J/k2Ux/mPRhswqvvsfzeayUTgzl4mfdYdVfrnKMcw8lRwfF1Am/Fg0sk3gs6pxje/9jdPOq9jLKrd3N2Vp/SCm0mWMe+dsqG7AEir8Ap/2bacggnCggMQXaa0YlPsL15jIPeHu4KXsOkWo9BoTCMmwle0vkou9N9KCkY9H1GC6PEaZuNZzIGU49WUfFYOMf++f3sGdrTW4zOW+PXct/QBt6bnORoZQAtBDsjy6tkRrTy+JcWji6AEC63wHcSZMGAE9g05zU45+MPDtIUAqVjfGwegWdBmdXvgQA87ch8gbQOJ4Mc9HTlSsJK0qSIMwoVxMQuoxbnbq5qZo5iqYB1uZrn3nvv7XZS+nHuCIXCIjoLeo7D0mZ4NsUZhU08RJiw2J9Ra/XlaiLn8EshUTbL3NyXmKj937QaB3AbZlk/oogXQjp7S2TTy+05hyDWipFKxuhQEWYfhcmHYP2z8P0BPL9IeUjSqbXRacrSgMsLQgp9RaRn8f0LI8F/s12D89VaHRs/UJT6AzrNDOVJnvvyrex53oZv+rU2XDHA2OdPEUpBJgVtJfDCrlFcoGguxJStoxhIjKdgIOCy68fYuHvwgo71YnkhT8eI5pK8ebkuAZVnQJ1vcRdRhAwCbJyPHpxZwZd4EuTZlbVSKuyMoZfNvvwCufRSqR640PNzdPbue9x8oceTPMP5lUlSSF57+Wu5fdftq4zi6kmdv9z7lz2X26UOx1hpjHJQZvDYIuOzZhX3ZPkELnNPtkwJ7rxZ8qZPWYaa0IiWOy+VGDoBfPzWEKQg8TfjVBVlG8j02EWd13umH8GOvYh+MpaMtFaWj6HhFA1XZCTo4OwJBpITNOU4mSigs3kWal+lozR7h57Dff7txKJA0TTw0Gg8TqvNfKB0Bz+q3sPlYh9HmzNUDmb82JcN6+csnhE4T3JmWNEs3gOveGJPnfum7uftkaZlFX1aEziL1ZB0xzzBkodJlzgiuu43CCi0AmbuHaXpQLcFXgFGnjeHq2RMZ5PoVOAJR1Xltv6ns8toqxJVV2e7O4pc6tAYh/UlIAm8PmRQwaVNRHMGawRN6yOExlmJTn1UNytIJzH1LCX0ofPp32W2dTmFYgXfJRTcDEoYnPVRYilsEmx7DvAwViGlhjBDtBzSOQQemVAUt8JU48/xfIOHh0zJgxMHE/ybUxbuEZipCO0EsfYIlOGGDU2EH0Ky2HPuXZmY3D+2Dp3l3zmhFJ4fkGZTlIpXUKk88fu0VEtdg6e6ztexGd1cecrIn/HhReTnT3KtBIzFOWhbwQljqXuKYSW4quhRkRCECuFJwtEilR39RN1jfjwVzcWCjqdrRHNJ3rxcl4DKM6DOt7gLIVDDw9jTp6E7inHW4tL0SZFnV9aSNDk5dAhZqfRGTHRb0hiDjCJEFOUkW2uZ/Z9/ip6Zedx8oZXbXZIML9WFgKu1jOJuXHdjD7wcrx/nPd94D31h7vwZNtPcD6WwNhsv8+iZvj20XfLul8IP3Avr5hzl2GGUYHpdxJ03Sfbuvob5wnej/XEQHsIZVDZBoX4XQfLIBZ1Xp2skuo2WPsqZ1eAPyFAoNEVXR8tCl7QLFTuJc44TzRPgLEIovrjrJVgKDLo5llCYIiOw8yzKQf65+CoqyT4KB1Le+ElDlDoaBYFWDk8bNkxaKn/8t7SGr3pcfpF1No8CwDJa2YRYPA7O0Igd9RSCEGzXtyT3ulgmVkoHuxfL3Lq+w/Rcm06hwmPPfQ0fzD7B9XaaEc9SxGEQ3GOu4m71Sqaj9Rjn4aHZYE/xQ8mH2MNeklBhu6OkWM8ibYswHEVVN6EaUxAbvCil3azSafYDOblXCkEmPUhbFGpHsNl4fnfemsGGHiCRyuCs6nZ6clcdT1hS6RBOYtIAH5+AEElOOt6wZT9p2iDyNqO8FIQgEg5hIA4slasanD5dRgoYKXS4Yeg0mweHQCcgc+deyEcrS4nJaTaF5/UjgwhrU9Jsqkdqfjx+ytNZZy/6G3YNPC0dG8hBysJHHsUlhrDiU6+loB1F4djh4FgjY2sg8ZUgrAZ4RR+MJZtssfCRRxl4zU5mtT1vt2TDroGLBh1P14jm6ZBMf7vWJaDyDKjHW9xlqYQsFnujGD0zg/B9/PXrqbz4xchyBWftRYMVISXDb/rpnMBbryM8D5emoBR07/bUcJ7Mq2dncUlMeuoU3sDA4+YLrdzukmR46flPFlytBC/9UT+e8khNSuRFJOUArXI/lNQ/G6wIfO3QKueoQO6Tcnibz6YzmmpHEA2PcmwUTjPKYvVHsAQI22ApoVb7m2gMvoHK/F8+IVgRCILsJEl2hka4Cd/NIcXyIMk5aLgimzhB0UwwkW1jhds4sYlJTIIQAh1sIY7GKbc7UAAhXS95WAgo02CS9Xy0tYM77jlGlDoWKqILNAWp71jwBYOd7An5Rfvn93O0fpS+sMqIb4n8EeL6DLOx5dFTRYbXxZjAIJXNJ5HdA7JGMHw8ZKhWA+kztn0n9tY387uPfYBDDZiXexgxHSKhOSF2cX/wKjyhqFLHFxkan2NqK39a/D/4Kfvn7BF7kRYCf4TELmJtm07nJFG0AVsaIXCTaBNy6sRVWKEQzuCkwkoPZQ3R3CRpXxWJQTem8W1CYgdJO2XCYh2dyq71Xe7jEXgGGzhazX6SxggFUQAEzlmi8gyFYp00C0hrbcL+EtKLIOsQej6eTQiHDLuuPEZ/WzMa1BF+AVQEzUkY2wPjy4qhcxU2a5Oav9X1rZTOOutofOEkLjHIaoBNcjKtBWIHkYCdYd5fSxyEnszBhFTIqsTWU2Y/cYTPT8ekicmN75QgjQ1Txxt89n37uf6lmy8adFzIiKbTSDmxL++QnQ+0rdXleSrJz9/OXiyXgMozoJ5ocVcDA4y/9bdR1T5a93yZxqc/QzY9zfz738/CBz7wpJOTSzfdxLq3vS03kztwAJMkoDWiayYnPA89NYVLEkQQ4o+PX1C+0MrtpkeP4mo1hO9ftDJprdo9uJtt1W0cWjhEqELmN/cxOazYOGWY97qS1qXqck9OjOR2/JCDHiMcZzYVyQrDOOc40zxNfeQnQBYouCZGgAZwGZgFrBqgXX0F/sz+VS6pZ9dS6GC1+c/o6A7mXT9l2yLoqn6arkBEmx/yv8AJfTm1ZJZQLQeoGWtyO3NnMaKM0BKRWGLnE0QaqfL2i0AgjSFxAelcP+vmLI2oayzvgK7FvJASXY4QT8AvWowX2aiaPL84Q79MUKHFFKGWwtx9RY4drTJ27TyVagqeACS6XWT66+uoicu45j+9AlEehvFr2T/3CEfnD7Gh5lOa7dAuRcwMSfZGL8CJgAGm8br8jICUAeZYYIiPytew2+4jCkbwi6MIXSJNZzCmQxyfRnc8OnMBkwc2Us+quECB8pA4gqxNf/0MrtOgZGKGvTZTWRkPi5Aei6d3MrL9IbwgIc0CPARSWfAs1kRMnr6agAic6JKBBUEhQ0iLyxQWh22myMoo1E6CyXKFlbIMl2sMaQ1SQdSXg5SwArf98jlmdSsVNuclNT+F9UQL27daOptNNNHTHWQxJ6u36ikOUL7smb9FQEIO6lv1lP4ukhdCIIsenck2Yebor/iI1NBY1LSyfHyUdTT3fOQIQkJUWnucshYv5PFGNGmsaS0mmMzy0GdPsu/fJtYEcqcOzPO1Tx1nbqKF1RbpSYbWl3j2S7c8JeTnb3cvlktA5RlSF7K4t+69l8X//b+fkuTkla9bvOEG4kf2rwJBtt3OOzcbNix3Ui4iX2jldh+P03IhZZ1dxVt5w1Vv4Hfu/Z3cTTXs499eOMKrPzzFQNPR6nJPPJ2PfOIAPnarz6bKJhq6gTaaalil7OdpzKdap9DeFpy/MVfekDvQenjEJkY4h7RNjL8O7W/Bz46tuY8CgXEmJ2y2v0449z6ovJiWN0pTePhOs1mc5nXFfbxqx0/yaKL4+j1v7x1DoAKMM1hncTj66h2yosGGEuUMSad7wZbg4ZM4Hykd2+sKzwh0YRlACSHxpMoBjy/xWgl6YY59c/tYjBfpC6oM1UM6jTqTbo4JvsLLSvNE0pE4nxiFwjHka4aun+ex+8d4+IsbuWzDAJHKMB2FbvbhpGI+rjPtbWNs/Q7cY5/jxD///3nJTIa/6OjMSpzUnNyyic5tQ/RRQwLaCbyuM6nAUabBGTZwXG5jB1MI3cTzyihVIm7PkLQXmHpgHXP7iwghKfMYxgtwnkdFpZRsG20gE4Ji4LgtOMldiztouBIFp3G1Ec489iwGNjxKVKhTUBnGWaLY49HJ78KxA19leadIKIywJFmIswIpTR5+mFmcKCH6NkFzGms6CCfwjcRJj0Zfkaxg8MvbqdzwnxFdafI5n5MnIjU/RfVEC9tTwcs4HxA63+9tW+OMRSgPnRpMZpGyS3HuqrbFki+RFJjMolPTAw/aOoR1XOWB387AOmwgaHmSw5ljVkOWmHx02MooVM4l9K/FCznfiCaNNY25DtbkYMovKIQTzJ5urgJypw7M85n3PUKnkfXiABAw8WjGwmSLF//klbzyF6570t2QZ4IXyyWg8gyqx1vcn+rk5JUlpKRw1R4KV+1h6I47Vr2+npvjzG/+5poqHucczhhsq0XnwQfPASJL2328OhuEnJ0ndN+Z+3jvw+/laP0o2mo86bGtuo3bd93Olye+zNH6UR7eAvH39/GSf2sxPmeoJLnUeGZdyNQP3MoPP//FDIaDTLQm+PSxT3N48TCNtIHo/tNX2kRDeEjXWXFsy66ZAo0THk5Vug6sa9eSQqggC2z2a6Ttf2DalBgO+/jhbbfw/Ruvoa/6WoSQ3Aj89s2/3Tu2elpHoVBCMO4ZbpCH+aJ/ktP+JsqunfNDjCCNPXA+nbDA4NwEffE0UiiUDYhDBdJRtCbnuSBQmSWTlt8/+C7um5qlb9Ky81BApeEhLBih2fW9pwgHDfNa4C/ZpSPoaI+yl7H+yjnUg+P4jWmSuiWdDkDUEUGALkR06jXm9/0ZBw/8MWKj46rNDusEnbrP6b39uDRCGUGoUmw35gDhARk4gUeGpkKDKsYcI45PEah+fArEizH4EIYjeIEmS1OkEPhpC5uAGkkI+zKypsdg7DNasQg9ySsKde421zKbBsTCQy6uw2tWuWL4IKPRIn5jnlJ5F48Wn0NtcZIIhRaWtksw1mAbBYbbVUqlBazOOQQujRG+w5XH0Waesree7Pt+iAcX/olWcgqHRXgtSvX3sWU+vKBxjrOW6WNH6NRrFKp9jG7d/qTA/Mq6kIUtKHjfFC/jfEBo05WDvQDCswHSaNlHKAnG9mzzz24muRX/5xz585Z+09Z4XU5XbB3GOSSCihRcEwoexjJt8ye06ylhyUOuzFw6Dy/kfP40rcUE29UvWGNpzeeJztITWJ0DvfU7+vnyhx+jXet2h5Ts0f2MsbRrKV/+8GPc/p+f86TIz88UL5ZLQOUZVudb3J/q5OQLff3O3n1rEn1Ns9kzncNaZv/sz2j8679e1GjnvjP38d6H/gJ98BBRMyMu+3iX7+KOa9/Ijetu5L4z9/H2e95OK2v1ug6pSTm0cIjTzdO85aa3UA2rOch5UT+7fm0nh+77FK2ZMwyMrENtGeLjj/wVR7/+P9FW5x2G7ngFQa97ERIjMVg8VD70Ocs6xEc4g+86awYWLgEeh8OXPqOlUZRUFKRis8qYbj3C3ac1P37lj65q89+47kaeO/7cHlBbXLiX0yffy6iXUJIw6D7E/+JnWBSDFG0TX2XIkqBmIqI046aH/42r99d4ZGyEduB3Ca+O0GgG4jrDxuHqDR4dyvhSaYLNs33sfNAhU0vbSzGBY2hAUy6lmJaHH1gyL8UJhRKym6cDfSMdqt91It9pK8gWAmoPDNI8aUFr2ic+w0T4PlqRwcaKzAqEcpT6Uy67cYYz+2dRTqPxUS5FCJnzSxwgBNr5eGgq1AGLs5bEzpIasELlYYwdQ6l/gPrMDNZZKus7jFwzS9ifIpSjzwqq2mOhUWZweoHt4+vZesurmPzo22knlmIhYDxMkGkCtQUIq/C8X+E2NvGxOz9KM26SWdMNcMzfz9OnruKyHfeReLOQlSk0axiRon1QBAyOXs3B+fdjdAsvHETKAGtTmq0DHDj4Fq64/HceF6yc2PsQX7nzg8xPnMYYjVIeg+s3cMOrbz/Hvv9Ca9XCVjIIl4Lx8IICJT/oLWzXvmhTj5ehU9OzxV/qXjyedPZ8QGj6eIPTBxfxQkmpLzwXIP3oLsLRAtmZFiJaIjZ3efzWIZwj6wKRJXxidP5ds9YiYo0T0CFXboFYxW+5zJfMaEdY8oibmuZCQrESXBAv5Gy1U6eRYrIl1+E8PqAHQDKH1ZrZU00OfXWK+YkmDvA8ucIDCDwh0doyP9Fk+kSDsa0XD1SeKV4sl4DKd0g9GX+Sp6LWIvqaZrNn4w95V0f19V3UCOq+M/fxd3/zX/jez82xbs7iWdASzgx9hb974WPYH/uv/OXev6SVtRgtji4n/sqQrfMV0vlZPj7/Tt72hr9GqeWvwZ5bv7+3/d9ZAXIym3GmeQbjDEoq1pXW5T4tzRaLtQcICt9LrNYhXWMp2gToWoaIEr4+TUGfYn0oKEpBXVtOZjkbpOAViE1MQRYYLY1S8peDIpfyf47Wj/Y8TVbWElF4fv7LPHjkQ4x5KYHIQc9uu5c3yD/nLvEaJuQG2q6MJzSb3HGe8+UH2fnoo7RUFeMLQm3wrcMKQez5TJYGGZ1vUfNafPLWAiOlUbbcl6AyRzPUWFyu3Inyhd7FiqKT1FSG6brBhtIRdHnc2ghsLBHK4Q8lDL1gkuQLY0SPeSzO/w3pWEra8hEIPAGZESRtR1C0XL95L59rTrEQjlNlAU+qPHyv211pUmYTx9nC0VUI0UnwS4Zs3kcfXyDor1AdGcFFJ1h34yTSN+hYoVIoFiy6nHAgirlClxi87ZeR25/P+ler3Hxt9lFoZbkaZ2xPziHZ/ny2A6/4/lfyj3/79z3pO4CHwtYvY/pwRP/GryGKNTyVIVCUE8nmiZQT8YcwfSWC4qbe51OpCCnHSNMpjh//cwYGblqTg3Ji70N8+j1/StppE1UqFDwfrTNmThxb077/QmvmZIOFUwtEeg6x0KI3h/BCRHmMqFhkYbJN3MzHFIvT7eVQQJGPOIrVACnFmtLZx7vDNyY3hXM2344QYvWd/7+c4CUv38rCnYeRscHzBFnmUAJ8m6d9H9eWLb4kEpA66NRTPAEizUFDJsHpc3liqYOShIFAIqohVjsqgxFxM7tgXshKf5rje+e4/+P55/FsAKJEnl+VtDWTRxa7zr1iTXsEKQXWOKaO1p4UUHmmeLFcAirfIfVk/Um+2Tqb6Cur1VyivARSlMIfHc2lzBc4grLO8i8f+u+85iPTFFPolDxiJVDGsWla85qPTPMx/3c5sqFDNagSmxhjDbuOJHz3F2oMzyRIbdHqYQ5+4cfY8vO/vAoY9eS2K0DOVH0KhyOQAdpp5uN5NpU3seAt0NEdCrWPoQd/klRU8FwHKXTu1CrKSBdzeedjvGawzohnUSK/qM5kkkfcZqp9N/C5k59jQ3kDSp7rlxCogHpa56Hph9YccTlnOX78z8EmpFpR8DXOgZOCK+0+dot9HLWXMRcPUKXGdnmc6cZGtAXnSXyb32kiQDmHzDSJ73FktI+vXC+YvGKQwQVHVHNkATixnC+UJgprBcJzSC0oGEiVYMSB7y11nsBqmVN0NeiWwisZhp81z9C0IK20ETHgJEI4hANfgEagE0GpmvDcfZ/hC/230/AGqbgYhUYT0KRMRJvv5yNId+4CBOCEBGehOUUweBkD1y+gQtDtAGEd1TDFdxaXQhoqju/ewsC25+XHuP35uUPs5EPY1hwPqyHmq9sZDH2udrm0uVAsEEQhfsdDkgdNet04gvb8BurzI4R9p3nR4D7GRUol8WmEKa1gBi9JEMVz73Q9r59W+wiNxr5zOCkrww3Lg0O9xd4PQrzBYE37/gut+PAD2HYdpVo5mXepDaBjqJ1EVTeRmIDmYkwad3kiKgclzoFOLY25Dn7oMbqlco509nx3+Do1WO16pFSdWfxud2blnX89UAy8ZieNL5ykONEi0RnGOurW8VjmmDNQ05adoaDiSYSDpJFRHiuiFyEsKJL5BKftKul/HnwBlZJHTVv8UPGCH7si56tcBC9kyZ9m4Uwrj4pQ5wcgzjqyZKm7mgO0Lt7LOTfdfKQLs4tcu54pXiyXgMp3SH2z/iTfTK1SBx06hItjkBLZVQfJrrW/EAIRhiQHDlD72F30vfIVa15o98/uY88nD1FModHn9y44WgoafT7lWsaz/+U4n/uxAo20QWpTrjxqeOUnNYUU4pKHLXqQadzhY+d0cZbltn0IIaglNWId50oNIVAoEpOQ2ISR4ginm6ex7YdYH3yIueKLaMtBUhcgpaWgz7Ct9WF+qvx1QuloW4HLBL6DDb5lWJzgruk6bZ1wonGC0eLqjgpALalRT+q9XKIlns0dV9/BjetupNHYR712gKxpKWqR0ze6LXDXvU5eJg+zwQR5gF7JscG0OKwqhNagnMCukA1LC4E1NALJRH9AoAL8xOacFNnlBnT1S42FgHYjoNyXkGmFcBKw+CsuslKDFBbrCayW+X7FgnJfQnGdYlGBzByIJb9Vh3QQkKu8VeC4ob6fob2f4J5n3cxpRtEM4GHYzAleSe6jcnZJB1nsIUODN6TR8wleYQqv1MJlAeDwohB/aD3GtHFCIJWi5RZWAwQpubuwg/8xXeVwOyY7cxJfCHYUI35hyyjj7TZOQWmgjG1m+SLocgApREooG7RafUh/kGo4D0DmOZwUyCwB3Qa/uHrfZYDWNbKs2+G0Nneqbc8xPRczP3GaqFJZu52/wr5/bPuO5QdXbIPiUC5/Xvn9spbo4N8ixUswIsITemmjOCTaCPRiHRcOceTrMygvl7I767pjuHxzRoPJLM96ybkjkvPd4Vu7zDlxFpzJk851ZnEm794ZbYmbGaN7hgi395GebvLIZ06w/4FpFrTrLeyLnmRfwWcgUMjU0Mkst9yyDvmZkwhPUhmKqM90cNb1jk8JQApcoIibOQ9ldPPFy3eXiMD1uU4X47nueGr19dY5h5CCkc1lDt8/1eWyrHZwljL/W6kEY9ue3FjmmeLFcgmofJuXs/aClDErOxvZ1BSyUOjlhdhOB1UuP2nztwupJaLvwt99gJl3vhM1OIgqLS/IttVCz8zknBVjmPr936f2T/+0JmelsfcbjM1mtEve8l2Rc/iZQ9rcRn10JmPspOPYeoWH5FX3mJ5NvhAa6SR4kFbL+LXWqi7OYryItnlO0FR9iljHGGfyf0VuRA+5HLgclFlXWsdkaxLVeZjxZD/a38xw+TJu3/G9JI2Y9PTDhMLRSiSFxEOZpQGBo1w2vCRIONgJ6OiYicYE6yvre2ClmTaZak2hpKIaVAm9sMezefs9b+e3b/5tqhP7idt1so4CX9Fj7HbBipX53WIcaazIzcrC+TZGVAi6N3Ry5W2bzMGKNRYVZ8x15pAiwkqJsoJMsCIWQHDqwCA7r5/ELxpS4bomavQSkvHAr+r8OmxANiUqddjAgZUIA55n8LRFW4UQyzsjFWAFuuFzFZofG1bcO/e/mbNzVFhkC8eQWAQeotsZciLf/2LmkTpBW1oSlfNlAtUBYTCZQEhFoS+iraexNgEc+URJMD//pR5QuXuhwa8dPElTW/p9RSjz1OpHmh1+7eBJ/q+hIlJKjHL4wwVcZvM2km4jmpNkIkQ6j6Jcjvv1jUQgsRiUXZ3yDXn4ohB+bot/5Au98ZO1mq/bqzhY3cRwGLIhTTj7G+v5PkmrSadeW/7lim1guyOs4Z29ERYAkw8x0rmHgfDZzCbrKIkGQkBqAtq6jLEeFok0GUlHU6wEFCqyl+WDJZ8SBRIvUITFc5eX893hL40+lgCP1pb2dL7dpUaZlFCfzQnrpw8t8MA/H2fmZJO4O8pRShBVfArlfLzdAlwoaCcpacGn0OW3+NWA6kiBxlycc1ukIASaUjDdzAiitQMLn6hWEoRz3k73vXQu/xwLchm1zUFVUPBQSuUBldat3pijR8Qd3FhidPOTAypPRxDlv0ddAirfxtW6995lOfLjuL0uVemmmxh47WuZ/fN3oycmekw0Wakw8Nof/qb8SS6khJQUrrsOWSrlOUTdsq0W2cREPg6SEpRCFovn5axUWo5W6rDKIp1AGEu5afB0Tqhz5Gvi1ccdR9c5tk3nTrJLNvkOh+km1060zlCSHv2HHqZ5z13svuUV9Ef9WGc50zyDw+XeKd3nW2exWJRQvTGNL30Go0HefP2bGYwGe6OZ+yfv58++8Te8smjRmU+lk/s9OLF0TZeYDgwGMTdlw/ybt4C2mun2NFuqW0hNmucSCVhXWkfBz7NhIi8iVCHT7Wne+42/4LYHE4Z3O6ynsVrgG4H0XH7H6ATSOZwE60kKEhrtgGDC4kYdWgj8s0YmlnyW31aOOdlirpMy48PG4ggbA0epnJEkiuZigEBSnypz7EtjjF83hzeYMiC7HZSl990uL0B4YPsssgEYgfeYI9jjMBsFxTilkUVY13WuxSJCSzIfks4HJPEJPv+uT2JMxviOGkNXTaDCEEcOAHI+UC5RDU0erOj5ubdGVThmrKRVs1SNwIs8CpUy2s4CuZNvl4aJc4ZTp/+aavUa+gdu5n8cn6apLePhcthkQQkiKZhMNH/X0rx8eJiZqSk8z8vTngGkwjlBx3mM+W3GvebyZzjxKSWSZmjOyXRyzqH1IuXSFVRmZuHjvwJJk7uHb+J/jLycg94YTZOb1I22G3z3iUfYOT/Z+3udZUjlUaj25b848gW465cgaUJhALwwd7+d2pf//hV/nIOV9hzCpVw//mU+f+qVtHQFJTRtXck7J4DEEAaCTidXxlSGIvpGC8udDyVQStBpZGvyHs53h+8FCukJdGJRfm6Q5roEXSHAmNyw8MHPnCRLDfu+OEEaa/xQkXZyoGeMo1NPUZ4k6Pqn9EYblYDK8zex8JFHsfUUv+hRHQxp11OUzkm4xywMb3j8wMLz1dkE4bDokaUW0/VosUtZmQI8X4GE6lDII1+aQCmJM4a1JpfSE9z8msu+KSDxdARRfqvrElD5Nq3WvffmrrAX4YnSuvdeFv7hHxCeh7d+fW/+bBsN5t/3V4hCkYHX/vDT1lWBtUdQPc6K54HWyChCVatQrZ7DWWndey/F938MYkcx1iB0vhAKsCq/ixcOpIGXPgDH1guE0XjGkRXO3R+HoyUygk7GX3/+dzGt/4+9/46T7Crv/PH3Oeemip3zZI0maDSSQCAJSQSbaIwx2MY2xmuDMWJxXOPF67AmLWts4zXe5eddojHOBptobEywCSKJJKEZzWg0mtA9nXPlG8453z9uVXXu6REIkH96Xq959XR11a1bt2743Of5hH/ixcdejDZpB8WTXkoAFqlHyerX+dLHWstyuMyhrkM8e98PMHfxAvXZZaaXzvKus+9E6AquEMiGRDRHLFLplbsrLXGEZd+E5cGjw8zUZgh1mHZoRHqxHcimuUSrq0WynTz/AKOnMmR2ueQ6Q6K6Q9Rw8HNxs42e8kmMFWQlRCi+qnbxlI4ZsmFMNfBwtG5fKA2gjSX0HOaLEQvF9GJzdaA5+vRxhmTakjZWUC25jN/XQ3gxT62U58xUlmxPgw4/Rj12Frc7ocUsFk1XXDRYBUkB/HMQzCp6LlW4MOShA8jLkHrkoIVABhYTS+on8wihKNcSgh7IFLppTBWYWPbovXaSbH+MJUHINKzQMwrHSCyWRBmKocvtXROcGngcS9f8NDZ4J1ZOovUyKUhJT4NpS96gVAZjYi5efBujznWcrTXodNWmY5ZOV/FgLaT/8U+g9Il/oVwu0dVVxvMiIuWxKPP4psHtuYusvtYIC3snEk7v94hMGUertuonSZZSW/w9dyA++qYUpAw8iVcN/AQVGdCpq6hGnRDFZKGLfzz6BH701Be5eiGNUWhUyvTt2Uf/vgPpFfLON6cgpTC00oF0M+AEUJ5cSWpuJmDv8k7zlN2Cr03dzmR1D8ZKBAZXJmTVMjI3RCM0WGupLUd09GfafBJI+SZb8R423OFnFEUpUIkBRzIXGYxOjzMp052nlbqc6/KJwoSv/ctFhIR8V8q1a1RiklinxFOTAigvcDaMNoQUbX5LMlNHGkMh52EKLvpID7dc3fmQ3FrXE4TjUFNZCtufo/WcTIeLchSNWoxJLMuzjRRkiRXTOq1bt1kp4FOuZHGqhp/91pxkH64gyu9UPQpUHoH1UDxRNnvN6nGLKZWYfuMbKX384/S9/I6HtbtSePrTic6eJR4fR+bz6bhHytTVtmm931ZBrJJNm0q5Dc6E72HDCNG6U2ke37Y5tohccDX82Jclf/NkRaxi3CR9fH25SeqbMudFzC6e4TVfeE1b3ZPYJPUnQW2QFZfjMo2kQc7N8aP+9/OBN762LRU1wtLjzdN4TBGbX0ZhEZ7FzyRIaVa1gQVGS8SCpK8cEHTtYbo2zX+65j+Rd/O8/Ztvb+cSpWXpFTUCkVB1JGPVBpgs4/f3cfDGSfxMQhIpwqqLl2m60QLaKBZEhrvjISZskS88VfHED01ywe2lLhW+NW15Z+w41H3LiavK+I7PPrfBj3ZGZKQlTAQyVEgtKHREXP24aUYbguWpDDiaYFHgdgEZiGsKN6uxMuWd2FW2v0YIpuaupvyCQYbFaQ49eI6xXT7VjCLrx1gtcKqC/gsJ35jzMEjyboRQKRHC9XxMvJ+Ln8gycEODvuMTYEPcsIrSGq0sidMELqM5/jp+CnNiN+be0xSLB9i77yKOU0OI9IKW+m5ohFB4Xh9COFRr51hePkdsJf4WJ3RfCpYTS9DXz02PCZhd/ACOu4CQGmsVQwNd7JtIOFCaBrWqm1FfpNsvcmTXHVyMvri5LX4jk457Mt28pfvpVGTAYLKEAJQnsA2LU1mmUuji3/Zdy57Ji0SVMl4my03Pe0F67E98Ix33ZLrWkEeB9PdM10pS8+D16Tho+iS7Cudxh0M+eu6FKKFxZYxja+AGkMnieHXiUG8gvu6E99C6wz/z4QfpWWiQten0A1+iu3PcM1NnNjZYAwiL46VKIi9wUk50uUG+e8WROdvhUV5otEcqSaRpVON0vXzJgRv6GDu1kF6cD3TgH+ggnqhgagky6+AO5x/SBbvFR5k6t8zcpUraRQk1lYUGxqSSZCts28ulXopxA4NNLI4r025QQzf5NxYpIde5Sg5djYnqCXd95Dyur75lJ9mHK4jyO1GPApVHYD0UT5T1r1k9bhGOg5USjCE8deohu9RerlaPqkyjkf6rVkHrdNwTBKjeXlR+pXvQTl6en2fhPe9pAy1VKxBeGoNEt5nySqcgRTiKUlGAEvTPJXQF/Ux019gzCwsOa1n4lrZN/gN9CXu8IvONeUIdMpgdZDFcJNQhsGJxnxIlLbW4xpHuI/yI/32ce9+/ENUb+PkcuUIXlfoy+SVB7vM+1R/06Q5qSDcFKNa0qPwW5ViEMDiOxg0tsUkInIDbRm4DwFVuO5doWJa4wZ2kQ4QoTKocuhoacwHLkwUe/NoQI0fmyBQipLQkkSSsOSyNFTk53M2lYr794c9fncf8QIHrPjtHLDuouh5Gpa6q1VzEncfLzPYlCCt4drFBl2Ob34fFegmJgVqsyPmW4ccs4nxKkTEJAlKAJC1xVSENODmDkSvhASftcf5JPJ+Zm3aBFbg24WBjnF+6+Bdcr08Qey5urCmUY2YaBRbjLIGjm7kt6SkrqteoLi2SRBGjnzdUpocYfMw8dCq0qSF0Qr4G3mQfn1p8CqFTIJMt4DgOUXSAqakphoe/gpQWITTpHWyA5/XhOHmsNSTJMgVKuKKL0FgyauPFLDQWkSTc+/7f59DAh/EcTdJwETIgUwhQuTrLHZKFyb10j09CY2mNxLn7wJPpsndsbot/9pNgYu7NXcVZr59OXW3vup5jKQaWaijINGpMZ4qMBUWu7e5Z66NSm085KY6/+UHp+Ok61ebTm4Xbfy0dB5UnCZPdCCCQVQRJ+vf8AAhBtuilrqvGkoQa5wp5D72ORAnQGYV1FcKTOFIQlyKuCxRniy6LQq7xZkndaHVzP1qZk3iBQ6E7aHNlrIUk1OS7fUDwtY9d/Lbbxq/mo8ShJqonJFEqrzYm5cukbrlpi9dokG563LuBItfpk8QmHXE2VUBap5LlbNGjXorQOgVembyLkOIR5ST77a5HgcojsK7EE6VFtq187nOYeh3h++hKmWRmFpsk6bil5ZoEqGIRU63t2KV2p2Te9aMq1dmJCUOSmRlsrYbq7MTp798AvFqyab20tAZoiVwOt6eXZGaG1nBXAMoPcAYHQM8TxnWyWuCWQz74BMkdHzN0V6DStMl3V9nkf/AJEiNAW03BK1CJK1gsewp72vJmJRWBCihFJWpxjVc9/lX0+D188n/9EaoU0ggMIizjJz4Fr0CYgaABU/f00HNrFSFZw+4XKTbEaMHQ8Xm+mnS3x0hHu1P1VSuXaL8b8kRvFBdNwzo0UBgT0ZcxOE+Y5uLnBXMzORZmdlHoCvF8S9QQ1Cccah2SS4dXQEpzy7Jw1Ofu3gaPOQ31S2k+Uc0R1LKpLFVKhxszFUaajNuWiZYAXAmOp0mqDm5Hg1pvhJ1zyBmLacjUPt6xRIlPWHcR0iKF5pQ8xnv8F9MQAX6o6ZIRNt/LfZkefsP/r7zp/j/i9vm7043jZKgHQ2gryRClowo3S1SvtY3bpBBYIYgWejj/rwXyg5rHPfeZjHQXyCUF/nr2LKFfo7BKIeO6LkYfIo5PIKVLsdCBkA5Srtylt8isx4tFDmYD7qvUCaTYoJpYqId0TY+yN/dxpGswYQZhwcYR9aWEQk8fiSxx/94eevf+OjkRMrhrD3LohrbiZktb/OYoZgGPWDj4trrmz54yeIEhyg8wi8t1L3oJzz96aO3x11wGSZiOe9bXuqRmDjw55azc+WaCS/NIIrSROF6QghQ/7ZJ4gUO2w08vqImhVop2zHtYHS5IziWNRxIIVyHyLk5Dsy8xuIEiloLFekytHKNj01YH1ZYjpFrhoniBg+srwlpCHGqO3jbEg1+fpVGLcX2Fl0lHd3PjVT79V6d5yrP20tuffUgdlfV8FMeTRI2EOEpDEtd7oggEUoKfcamXorY023FlapgXa6Rasf2vLoVNkAKOK3H8dN0fSU6y3+56FKg8Amunnijx+CVGf/5lROfPo0slbLWKWVpa8UYAiCJs6+QrJcJxduRSa41h6b3vZfHv35tyTKxNs336+yk8/WnknnDrZe37VSaD2L2b6OxZ9PIyTn//2vewFr20hDsyQjw+jq3XEZ2d7b/LXA6clXRhjEm7Lbk8vbFgNrxEJA3LGcPJEcnbnwXP+6JheCEFKIlKOykffILk5D6JJJX+ZlWWmdoMpbBE0SuScTJr1qmRNDjSfYTeTC//+5/fwLFFi/YljnKwpH+PdIQjHUI3JluW6EQ05Zct3TCYpGlprwVBZ0ijMUlOdvHS4y9te6S89PhLef0XX8c16gIOCRXrpWRgkyCEomIEnYFm8PgcSx/3CV3LwpzCMdBd1BR21Rjdp7Hk22Zkw7LE9c4knaaGPygQ/SU6qlkWzwyxNKrJV3xuvrebu65b5JYjMQJI7Mo9rCUVKTiA42u0lphAU+qFrJtAQ6CXFU5XQhS7CBTSGDSSjwbPpSECOs0yschSUxm6gzwBMMUgb9n/Ym499WpkUISgg8yiRqFJULj5gZRTtLSYghSpAIsQEjcIyHhFKlPznPzYgxz57dczOTXFXPkkmabCbXVF0SBx3IPvz2Ksj6dWQP9qMmsxfw0vcs/yeh0zUUvo9n18lap+luIEWSvz1JmPkT1Yw2gFTYmsEA5GJ1SWlhCBxNrTfP3BTxOGA/T2lrj99k4OHDiw6bHVlhFX5qAwSHd1AtcmhMIhY1cRVI0GN4MOCgTGcNWePRtvElaNc3CCteMfa6G+uCGpueUd0zd5N11/scjcnCTXnV1jPGetRSeWoYOd3PK8A4TVZMe8h3iiQjhRpRYmJJV4rVlcRuEABQNX12M0UE4MD2jLPLQl7zqxlBcaFLqDNlgBSGJD764cY6cWKC80sNYS13V7+UM5h92xJvzn8yxkHYSSOP0ZCk/eTXCwc9v1hu0N6+KwRbhPvYDaqkpjcVyVyrmBlkxLCLEyttLp6CftyDTNFGX69/Zo/xHkJPvtrkeByiOwduKJ4gwMMPdnf4at1tIOSxiy6klrF9j63Ris1shsdluX2uqXvsT0m/6I8PRpmn1OhFIYa9EzMzROnGDh3X+Of+QIvXe8DJkvbDqqstZCGCILBczSEvH4OE5vb5sYnMzNYcOQ6NIlFv7iLzClEiYMcQcGkLkcMpNBet4Kx0UIbJKgKxUCKemPsowNSkYHFURwcp/kvr2CfVNQrFtKGcGFQdpAzVMegRPQSBoUvAKe9NaE/kU6YjlcxpUuNw3exFu+8RZ0rYFjM8SqZYQv0tRhE6OEAiVx3BgjBVHJSW+iVeqPYBMJVmCFAddyyB/iB6/9DW4eurm9jW4eupnfueE/MXf+f1DTgsSmM+3ACejN9DJdnaZk6mR6G5jdNdzxHH09NYaPLxB0hVgP9grBrF7inngIR7rc5l7EJYG6g04UjqfwOur0P2aUJTPAzISD3xDcMudSVHYdMyctQUq8VSr1hNh/7RJeNkHKlMhsGhJjJV4QYhIXjGTM2cO07KdAGSk0vl8GBNVqjSDopzPIcrbrGF+66vs5vPQF3GiKPs+lu9jNbCOH4+VJopAkaqYPC/A7q3gFQSZXJ6l4BPk8ldppHjz1XkLRgTEax9nsNCdYWryF3r5/JY5nUapnA5k1Y5/O+5u8o+/vGeLz19zMXGcvMpsjcF32UeKJtbdyw8GvIb0YacGaGBP6GO2AcoisRUQWzzMUCmCtx/T0NP/0T//Ec57znI1gZb2M2BiOR1UOVi9yX+4AgV5GWJOCFKGwuX6WEs01+QzH85t0TNaNc9aofuqLWyY1IyVi5LE89vkLTeJrvKm09cZn7WVgX8fG992mZu5fJKzGxK3uQ5P0bUONiQ2SlBwf2ZTYXZCC6zKCb9Y181aQzbvUyxEmsVSXQpw+idG2vU7dw3nu/fQ41to12Tmd2nJ1pHElRBr8QKXjpskqix94gK7nX01wsBNrLDOjZabPLwMwsL9I/54iQootDevSUVij7dLbChc0TflztsPD6KZR4qoDavXYKolX/uC4imyHtwaEwSPHSfbbXY8ClUdgrXd7VR0d7Yu7Xl5G5lLzKFutofr7SUZH0yPVdSHefgdPZmdxh4a2dKmtfulLTL76NcSTk+kyPQ+0XgFCzVGSqdcJ77+fyde8hs4f/bENo6p21k8UpWDH2hRkLC7SvLXAhg2E5+N0dYHrEochttEgGh/HGxlB5nI4fX1E4+MQRSAlyVRTpmktyvO48bm/xFuefhO/+dnfZKw8hhVwfgg22kVCf7a/reI53HWYl1z7Et594t3t0L9W1o/B8J773kMpKjGochiZQWiwzaNJQJuI2+N2YpKYWAiinMGtK1QskUiEkEhP4RQ8HBd+/frX0FG8bsN6He4YQftFirKAsQYlFY6WmFgjE0soQCjLqeuWyF1V4ZrBCq4yLANKBPRnunHDWbrUJRpG4ApDrDMEGqRKJbS6IVF+g71H5pmbHCD2LN1GpKZpNnWK1evxLemERipDkI+JQ0msBb6yqKzGoIjCLL5XRziWmgxIqckJlqbDnLUYG9JoTKCcbmrG8vVBhe7PIZDk/F1c++Tn8/m/vJPKwjzSSd3sskMV+q+bwe+MkI4AO46JUhM34TS4NHMeoXyuOuixuHATcXzVhu1aLo8Qhk/h+HUTaD2+hsyasU/n8+/5+hle2wABAABJREFUbNui/nhU4fBXP8YFJ0tc7OQJzzhKsfInRJk5TOIgm27AQmpUUMc2MmjtAQIlDaAwJovrujiOQ7lc5s4772Tfvn0p6dIYZj7/Pur/9mYytkJ/Tw7hpoBCmphfvvR3vOrgrzKlCnQmVXzXJ8z2sURA3pH88t5+5HqybKtWjXOYe2ADT6bto7JJfbulrdZYTn1jhn0WHAHaWkzTByUjQdgUGEspEFIgjCGxAlfA1YEiChy8jIvjqXRE0hyVOJ6idyTHY56xly+8/2wTpIiV0EJrOehJHAH1prKmshCS7/Jxih6mFFH+zBhzseYLHzjH/HglHTOR8k26h3Pc+iMHMdpualjnBQ6FnoDl2XrbA0XKFcDh+orKUoiXcYhjjWdXpO5e4OB4kspiSCbvEtYS/KyD62+8PD9SnGS/3fUoUHmE1mq31+j8eezyMsJ18Q8dovD0pzP/9rejOjshDFMwoFRr4rB1WYut1Yinpshcf/0Gl9rWCEcvL0Nz1IMQWLPqFsEYcBxskiCLRUy5TPmTn0wfa46q1mT9KJX+EyJdR8+j86deSOWTnyK6dAk1OMiZ/iGWMlkKxW723/1VZBwTT0/j7dvXfo1NkhWujRApYJKSpb/8K/YfPcqrn/BqfvvO32a+Pt/2RFldfZk+HOkwU5sh5+barq83D93MqYVTfGniS/zd6b8jshGdfieRjihHZaZyVRazObrLPomi3VoXpI6dNDRDg4+np6tAVD+P6uzBNSolMSuF43pE8XQ6Zihcu+nX4rpdCOHiS4mOBNX5lERqrcG3Bt9zMIGhbC1PHKygXM2SVkihMCYhQdKbP0itMYbWIaPu46npTmRtjH2MI0wCJsE0DH62wv5CnvGlDLbhYI2kJgxFCUqs+FIJaMttrRHEVafZmbKYRGBiiZPXmMTh0tnH4vsJwVUGx9XE1sej2fJHIESa3VONF1Fk6FQazx9OA/qSCer2z7ntZ3+OE/98mtnRC+QGS+x+0gTStdjExUQe0olxC+kdcFzzcJwelCPI5SbxvE8yN6toNPat2tUt9XqdYvEGbnr8H1KtnmqTWfO5o7z/ja/dYFHvez6HbELl4mn80Y8hehokdS8db/oSIU1zF7RIP8TWfbAGx4kIoz7CcCDddkKQyWSYm5tjamqKZGE2DRd84G500olS3XRPGW7aG7GnW0LnXm4vn+NN8x/iLQd+jrO6k2Xp4grBNU133Nu7LuMs2ooCmPwGXPpq+tjI42H4hu1fx7dX2jo7VmZsuk4vloKAuAUGANkMCZSkoDiQpDtZc/t3A7uUYIYmJ6VfUVlscP1Td7PnWA99uwvMjpWpLoVrO7fGkreWvBREq3ZgnZj2+MjJOoQTVb74zpPMVtca8OnEMjtW4ZPvvo/HPXvflpb0XuCQ7/KpLoYoX5HJuXiBwmhLdTnCzzgce+IwJz87san5WpBzedJPHuIbHx9lbjz13LHNrpPjqUeUk+y3ux4FKo/garm9riezVj//hXYHw9Rqrb1948hni7KNBvnbb9sw724ph2Q2m6p1hGh3Q9r91RZoaf5fdXSkXZr+fuKJCfA89Nxc2zdFNMc10vdxd+0imZmh8slPkczOcs91N/JXT3gyF7t6SaTCMZo9T3kmL/yXD/KYk/eQTE4iMhmE4yAKBVRPD7ZWS/k4cYxNEpKZGcZ/7ZUce/Mf83u3/x7vvPedPLD4AA2dzq+FEHgy5X3UkhqHug61QQqkoX+Hu47wuq/9DYvOVfRlPXyb5v4IIVBKceKqErec6MKvOyRe6hMiEkuuIfACwQ3X30T3Vc/m/jO/i9YlpNOJ9AKMiYji6dQzY+/L2xwAY007Ebkz6ORI11Fy2QMsL52gtpg03TSbclCd4DuG2nzAwaiPoZ5LhNbB0YA1GGGZrk6x7Cwx6RznwzyVqWQPCQpZiBnUk/xg/UMc4wRCgnAs2cAwHBtqcy6qIZA5WEqgqFKw0vqqLWkXu2IUStKUiqdzeFcaMkkC2RLjIovyOzmgPs6AmeaS3IVrU5ltansu0NZSsTn2qVkOOgvNbWGRMkccL1MLPs7zfvNdfOzef+L0zN9ySTns5TzKDbFmbZfQCQyuFyCkIAiGMGaCYscXKJeHcRyXJEmo1+v4vs/tt9+OUs4aMuv0ubPbWtQXRgBvESUHcLwKSRSiGwEqU0eIpmW6TFAqRCmNsRmWFm9hdRfPcRwajQYX7jvBqY/8A1F1mUBEZHxBYi2zVckn7vd5+uGQPd0aMl3cPnMnt37ff+be4mEWooRuz+F4PrN1J2V9Xfjc5d1pt6hvl7T10qkFGpWYM0pwfUYRNMGDEG3LHYA0t0mvjGUhBTC7GwkNKSg5qg0W9hzraa9bayTiuE2SqgCjLZ4S6wxgBdJJR0bVUkRHT0BUi1OC78pT1hCzauWIs1+fpnMgy+xYGT/roJRsA5YWb6d3dwE/q1iarlMvxxs6UH27C9t2qOYuVZg8u0y9HLdN4pSTEm+DvPuIcJL9dtejQOURXkLKDYTXNWTbVreiBVJW/3+rZQYBlTs/T/eLX7wGrLTURjKfX7ucVaqh1b+LVrdjeZnC05/G0j/8A/HEOKZeb5qAarAGoRycvr4VafWlS3x939X8r2f8MDXPp9io4WlNpBQP9g/zxy98Kb/+D3/J0554C+7wMDNvfnNqx681yeJiW3KNEFitMeUyk7/9O1z7+2/kbU9/2xoQcLjrMPcv3r9p2B+k9ulvPHuOb8qnQdFhFkPWzLNLfhFfzdBIGsz0Wb50fJEbL/SRK4FTN3ihphAmHJ2Ygj/+31Q+sJ99L30R07nPbu6Z0X0rkKY2v+ved3G+dJ7EJO1cn5/d9ySiibtRfohN/OYmNni+Jkkkk9/sYW/R4oxYbFkitWyfZ60S3Js9yPvETxERkLcVciImkS7jchd/4fwcP2ff1s7LyR9fpBYqBuY1t11c5p4jRZQ0lHQKTFwBfpPU6EhJ7EjiApgkwTfQayyuNFjlYnxFpitPGNeRJDw7+QR/4b6QJTrJUcWXltA4lMkS0OBH+GdMOEfDlDAmIvU3gc8v1Xj1Xf/OhbCD2H0FDglDdoLn2A9yrbwXhG3LvqUDxjZQZAiCAGt7EWIJpcapVHqRUjIwMMDtt9++KaG1XlpG64SMs3l73csYhDRgJLnOLkpzM+jIYAlw/BCkScd/TkLY6KNUuo16fe+qJVgcZ5yOjjKj3zxHVK+Sz2cRy/MgHVzAkZZKJLjrosfurjqiKSOW9XmuH8luul7b1k7daR/GssZy7u5ZABas5Z665mpfkleCVm9CN08lUqzI2dv3QaRgZSTULEuxaXchyLvti7ouG4xO95/IWoxNX29I83MEK0qbsBqTaEvUPk+y9qcFa2ButEq26BLVE8Jq02TQlQQ5F51YPF9xzW1DFHqCdvcpU/DWdKC261BdOr3Ayc9OIB2BIyQ6sdDKPLJw7InD/38nTYZHgcp/yFpNtlV9fSnhtNHANi/eG4BKa1RiDCIIcAcHN1X9tACQUKpNYhWthNXVZQwyCJCZDKbRQLguuSfcymh1HPnu9+G1R0UGLYCuHH4rmNDzMNby1095JjXXo69aap8rAp3gV0vMZgv8zff/AM+9+Rh2aSk1ivM84tHRFKS4qy4wzU6SqaWS6z033cSxnrXAbv3vrWplvCxEGmFCXNnA4FCR/Zz1f4DdhZBo6U6MNUx1h3x9t+a6k5pbP7NAvmHoL3SR6+huOwbHr7/E1a99DeZ4YaNnBilIef0XX081rq4h8J5ZPMNbRsd5xugu+o/N4ObrSBljjaRSynDhvk5qC3mKUQ3ZELiAFu3oFYQWfFo9l4iALuab6h+BR0QX8yyKHj4ins9RexJpLU4hZPC2afadDukpJdwwkeNCX8SyFxMJSxWYigUXy/D4LoO0EaFNE3S7M524Xh6kgxESx9S49QlP5+6778ZayZHkBD9t/oZ/9Z7FtBqkIRyUjdhtL/Jc8wGOhSdouOmKC+GCdDjJUd5pX0oj9MhTTkGWdRkTe3i3uIOXmLdxLfcipEUIt9nVWGnfB0EeKes89ak3I+Vxstksg4ODyC2k95liB0o5JEmM6230H4nqEmtSZ0Evk6fY2095aRGdJOhYoJwE5cPC7PcxMbWXQqHYPkQymYt0dn0Jx5lPichhQn4kR+3BvUQlsQLyBQSOZaEmmSlLBjL1tTLiK6krcae9QlfqlunZTkZCs2NlKkshypUksWHOWuYSTYcCTwqO+JKcTPffps1QavBnUhWNEWmKVUYbZNN9dn13YbVFf77Lp7oUoY1hWUPFWIpK0GiReGmeDg3YWkJFW5ZTS50tK6wnWCy5Dp+wlpDEhiQyVOOIYm+AF6hNfVvWb5PNOlSrFUVB3qW23ATqzfU02vDAV6a54al7EM305fXbvrWdH4nus9vVo0DlP2CtJtvq2dmUKxJFkGwMP2uDFGsRSuH29a3xYVldwTVHcfftIzx1CpHLQRim3BDYAH5Ub++aVOaTF75M7X3/SEZaHEE7PE5YsIuLVAOPXEcvNoo4u+8qxgaHKVYr7dZne3UtFKoVRgeGeWDPPg6Li1jX475ckfkDh+msVbh6YixtHbfWSwhksXhZyfXqMta2M176XcmlMAYrUSJB2jKRKDAbPIUD+fPMVqcJTUg1KnPzXRVGyoZgcJhc0/Z+tWPw/DvexZ53vmPDWM1Yw7vufRfVuEp/dsVPppXro6fnmR3N4YS34HWUkV6EiTyWFxxKlUkMCeGUT2PJI9MTktRbjXTBqLOXaTVEnnJzI7a+r1SFkKfMJCNcZD/7OYd0LY4Ts3zUsHxW0VWBrriXsh8TK8P9UY2PxQ3OO4q9BRhwDUJDb2LI6SXwClgnQxKl3JsjR57BoUNP466v3E2jcZYb5RiPle9iTOwh1D656lkGvfM41pI46U6RxiLEGOBD/BANMnTZufZIyBMxXSyySDcflT/CMU4gsc1rsGjb4sOKJ8rg4EGKxVVpwltU/74DdA+PMDt6Aad7RR6a7k6Wyjj0XtsFokaj4VGt1Uikwrrpurl+g1z+MFdd/Wt89KP/TLlcJpPJUCiM09f3cYQM0TqDq7I0knm8QhX3+BmWaz1E46lSDMCRECZQjwA2kRHvtKbu2bk77fBjdrzY1aZnOzFUa1RirGkqZBYbtKhiywbQaXzBY7OpZ0iTvoQUqZzfAGH6NHwBvb0BVz/3qg3vs9qiPwo1mYJLZTFECHggNFyfUWRUOmpsGt+m3UFH8kC4Eua5HVjJFj1c3yHIuySxwSSGajmiPF9vhjG6ZLIORtstTdo2AxktRZFyUmJtK+uoZTJpDMyOVTjx2Ut0DeY2bPtMIUX49XL0bTe4+27Xo0DlP2itJ9u2uxsAUmIbjfSJzROX9H2cvj5kLtfugqxX/dTuuiuVCJfLND2i0z9sMkpKZmbay+h66Us49YevorOhKXV5OPMxbtx0K7UWaSCZnUMXujHLy9RueDymUMCplDFag5IpJ8Na0BpPKmr5PIuJ4atDu3nTz/8qFzK5lMeiE/bMTPFTn/pnHvPAfaB12t3J59Fzc1tKrtfXvZV6O+MlI1086RPqBo5IRyqOrVOTPRhvP5mwxMHCQX4p82w6K2/D6+9AeWv9bbZyDG7VqYVTnF8+T8bJUI2rONIhcIL0rjKu4/qCmIRavYqUnSvfswvD+WEWFmcQNmH0vk4OPmEGP6NJIoXVUHNzJMLBIUZbgSMcUnu3tBxiEgpUbLG5f6Tn6kpe8c1jOfJRnb1LPt31AKzl1oVxbolrnPI85t1+zEADqSwuCpskmOoUiS2gnBXujVIS0/sMli+eQCQlalrgikt0WE2HNKT2MgItbCrzbQLZC3Y3k2KYPM3O2io+lBCCPBUmxDAX7VXs5yzWapTKIGXQ3DVXBfwVLg9QIQX6Nz3vBXziHX9KZWGeIF/AcV2iOOaCmyXee4ThPc/Hr72FsDFBkvgI4aCUQakGSeJy+tQ+hgYlz3nOc7jzzjuZm5ul2PEFhAyxtoNisYAE6lqRNBycTET+eJmFiS7QMUhFZCRTvUN8PV9jOdPJ8dv+y5ZdoG3rStxpd1jrTc9apNDt3FNbycnKkRS6A8pzjRZeBmBOW86EhmszCtEGCwLhSdyCixICE2qEsdz6wiP4l7Hob13IZbP7sKwkZ33FXgtZY3BIgU/oKzqfvpeFvzuz+YdddXqTzopTrhAC11OE2qAjAxbiUJNEhoYjyXZ45Dq8DSZtWwG8XYe70kiCyKQgRYmU6qfXrsPn//FB/IzCWtrbvlGNmR1NCbh+zsFtkm9nRsv8+1+d5vt++sgjGqw8ClT+A9d6sq3s6EAISBYWmfvTPyW6eBHZ0YF0HGQm9WBY3QXxjxymfu+91O/5JuH586l6J0lwBgbQS0vYlrQY1nRmsDaVK1tL54+/gLEL36R7rETop3yZSsGhcylGaZuCFWlRsSYaH8Pr6sHedpiKrdLoUHSVYtxEI3SCFBIZBNiePjzfY7QR8daxGcrDu8nPTOM0SsSuy4PDu/hfL/gZXvl3f8aND96P6u2FZrr0ZpLrzWohSoitTTNeBPRme5msTLb9UaRISAiYjSIGvDy/+thf5djZmAkNcgeOwa1qOfue/sbfUpic5fyATTW/Anzh0Ks1uSQikpZKdpD84jTlPTlqxQLZesLAVEjWyRKbgFDWWVjIc/Zrit1HFlIrfc/QIZdxSIi0hyPilTvW5skvwcUhoUBp7Z2kBWEslcBwun+RIzNddJcMJE2Q6/ioKEd+1oPOGjUvIfEEwobk3cPsPfSqlHtjDF++72/5vZN/SZ/K8KSCpFtFSGtIsFyIJVcvZxGdNbRMuQSt9ShTJMHBaQMri0Cl3jPW4oiYhBxlVrw8HKcDsGgdrgT8rSIrry9rDDMXzlFbXkQEc+T7snTu6eZpP/8KvvKhf2RhYpxTuS4+f8PNLHT2IjM5PhG75Ou/w7Pi9/IY76sIEWGtJAz7WFy4mYWFbu68805++qd/mn379nH+wmcYG3sfSg3ge/k2UdPxPJIoxEQuKt/A2dtFMl7jgZ5dfOKa72exq5f3+y6un+NguYNfXixfXuGzvq7UnfYytZ3p2XbuqWuSkzs8Cr0BlYWwSQ5PTyWXLIxYKArw8i5OxoFmyrKwFlFPcIdyeCP5LddtdqyM0Zabf/gqwDJ+epF7Pz1Oog0lR3GfEmRig20kWE/xuBceZuhwNz2fHWd2rAKrwNP6yneu9a2KGgmVhbD9/JboMIl1W1G02qQtqidbArzFqVo7O0nKJkhJNq6Ijg21xFDsDdpqoPoqX5WwmvJnID2VxA3NF95/lhf85uMfsWOgR4HKf/DajGwLIH0vtbSv1qCjA2vMKh+WHPnbb+PCT/wk0QMPpOOdFiDxfbxCAWf/fky93vYwEZkMzsBAu1MjggA9P8/8298BaHJ1QyY0JDVDpeCw1OmSLyc4iW0HCyb93dRe8RP8ReOvEPKnqQcjGN/iRib1alGSno4+ytbjaNbnozNLVBLDUD6DFX3EY5eQUURvvMBcRzd/+8wf5vEf+CtkLksyM4N/6NAGyfVW1e05uEK0M15ybo6h/BBztTkiE6KNAplwINfDrx9/CTcP3Ux9/uSOHINbYKmVfVQ5e5qR2hL/RRomeyQfvdXj5F5o6AaTWIaERDmCi7f08+W+ZzPtDaJxcNAMHJ7m1pNfZncpg3QcQlFlYRpKs3vJdzZwfY3yGgw8foJLci9FFlNlTmsyhqBCgd1cZK84v37vQVmFDA2RL7jQVUJVLSf6fD4cZPk6Pomo4iSC/bMeL1Y5Dgtwy0sUnvEKRPetcO4zmM/9Me+KHqSqIGfhX6s+vR29BCKhvjzLfcbhkLb8binkzF6n7dwJUCAFWYlw8WzYXGeDFC6WpA1iCiyjVI5MZh9xvEgUzW5KVl5foyfu4a4Pvo96fIKOQ6N4xQbqosAL8hQ7jvB9r7iDz0/18Pa5OnUEvU1n2moYc0l28BfuS6kuPobD8RhaZ5oSZEEmE7flx8PDw3R2KFLRW3YNUbNNxo01jquRGcXpvTfz/mtvI/Q8+gKXfK6D0Fruq9R51f1jvOnw7isDKw/FnXab2sr0DNjWPXVDcnI2lfPWShG6mXvj+oqFnoDe2KTj2yags4nG1BKEryg8efemF9ztRlFPfXFxRWmjLQ0l6BrJc+OqscitP3KQT777PmrliFVB6UDaPFaeWuOf0kqPtitSIoSQqbdQU21UW065K0Zb6uWIez41tg3AC1O+jEnHUmvWocWMX6VEqpdivMChXknjBTYra8AKy9ylCic/N861T9613Vf7PVvfE0DlT//0T3nTm97E1NQU119/PW95y1u46aabvturtWntNNvme72282HJ334bC+95D8nsXPrkpgEbAE2nWG/XrpXHlcLW68QtYzkpU2+UpreJ6O5EN1n7bmzoXIxZ6nJZ6PVxY4MKNY42ZP/bf+bt9X+hVqlwlfkaZ+knEkWMlypGYgPjYZ3hbMAP9nXyfy5O0+mmM22Rz+Pu3kU8PoEwhmLUYGxohAdGdnP1mVPIXI7eO1624+/qeD6zIeMl5+bIFXPUkzTd9aqM4m9ufD1OUyq8E8fgFlhanX206NSp5gUyEeyZMbzkn0Pe/SzJqT0QC8G0tPQVDnGi82eIRIacLqNsQiIcxr0RPnLDs3nVbVVyX/wU/sI8C3FMadFSXvKboMTwtIP/zN/1vJiy7MHaanPc41EhT0Cd59oPINfdRkrpoTqGoDKD0HWWMxFfPQAVEXAzlsNxxD0llwt1yRkB/1MbXt1wuDn0INfXVpqc0lXOdwZ0tMTLcYO5+Qjy/RArOrCcJ2F5LqLQKygXVKresbCf8wyrCUbZSxdR+nprU3KB8KjaPLsZ45BX49jR/0t3963tgD/H6aQ+F1AaLRMvnaV/3wEQtP8+PzrH5/78X1CFKQZvvoB0EnToEoWWpFHD2hOcqr+aP3f/kFD5DPurTLqw5KKQqh/wb/ljjIw7q/FVW35cq9WAFS8cYyKUWgGxXiZDsbefamkWq9O78H+//jriIMuuTICfTTsgGQSBFEyFCW+5OMOtnfmdy5IfqjvtFtWoxJuanrVKOZJ6OWL0ZDpKWq94WT2WMdriZx3ynT4Hbuhj19FUvhueW6b86THCqSo2sQhH4A/mKDxlc6v7nYyifuiXb9iWaLrrSDdPe8k1fO1jF5i7VEnBk5R09gfc/MNXcfcnRtNuULPDE0eaJNZrwEOraSdEmu+jE5MmJEuYuVBidqyC66sN658CPJdKmN7orQdKqzs2rVOsTgxxpLd2qW3L/tLXnLxzgmNPHHlEdlW+60Dl7//+73nlK1/JW9/6Vm6++Wb+5E/+hGc+85ncf//99K/Lfvlu1+r0X9scJXj799N7x8u+7UnD34nazIfFP3KYsTteTrKQjieE56UusatfmCTEMzM4vb0pUNFNVlzrpzErxF0p8bJ5KuVlVKzREpSx5MsJC74kcgX5qmZxVwe5w1dx/rPn6fA7CMwoV4cfY8y9hZrsQZMBleDG4/ziUJGRwFsZzTRL5vO4IyMkc7N4UUw5ECxKhX/o0BV/R1IIfnlvP6+6f4ypMKHTVfiymfGiHbo8yW8d3N0GKbCWxLy5Y3AKloB29lHSU6RaKSGFg1WwoEK6K5bnfFFzco9CAxpY6vghQhFQtPO4Ir1jc6UlEBUWRJ731Of57Ru+Tra+zLCGWsnj4ulOliezeJGk+M05fu7Jf8k/2WcxwTBaBjgk7OYiz+UDXCtOrYMpAi8YBjdPogRhfQwwVK1DWSf4WPpczZO7NDKRjNclM0rxLtng8blB5MBx+Osfg7DCUkcviajiWdIzuZIpD6OxBI6PF1YoKcWy4zKyoCnnV7apxPJc8wHeqV7OoughTw2HBpFVVMiTIeSncqe59uAftLsmxeLxZqfkvSxMjKN1glIO/UcUA49ZQMtZrI2pl6v03eTiZg3SjTFxmlIrlcIkmrAsuKC6eSCq0hlk1wBPKVNr9kwSM+9lmPKzDIe1VYdIgpSSbDaVEhcKx8hlD1CpnkbKgTXLcoOArPBw1UHsj/4G1brHoOfhrwMCQgg6XcXZWoN7K3WuL1yBTPlbcKddXy2uyWamZ1EjaTvG3vOpMU5+bmIDoXMnBnJzieHrlZikkuAYSyIFTiXmsYlhfU/gSkZRl/OC2W7dpBTtbpBSgnqTHLy6Wp0cAJqKonolQinJNz89TqMaE9VTC/z1FvktfspWDhIbJpcWdJhKsC9bAqrL0SM2I+i7DlT++I//mJe97GW85CUvAeCtb30rH/3oR/mzP/szfvM3f/O7vHYrtT79t3UBCs+cYfI1r2Hoda/7joOVK+nubPXc9aOh+omThGfO0HaeJe0GbFheFKXAROsNf1tTxiAcB6evFzM5jTSpzNBJDH4twYk0UaDoveMOluMyiUnaAXFd5iKd4UUqcpBYZFCmSqN6kv3O/yC/bjTTKpnP4eVy1Op1fG049Iu/yJ7rr3lIXa/buwq86fBu3nJxhrO1BsuJTd1A85kt3UC361S1wFL9xMl29lFI0jaPkwhwfCpBxNCCZWQazg9Cd3YPM3KYjE3JcrEA11pUUxGQt2UmbD9j3lXsl9PUyvPku+ocuXGWya/tR8lDXHPj7Tzwpb/llw78b6a6BqmoHB1qib32XKq8clbfZQk8bwDXTXkAUdTsrKGoWYtrXNCaOoaMb7mh0zJRhw5jOO8qTpVnOPb197SVJp1IHCuIgHYvQar0jj7TRRRVcbB0ak33smU0sWgJVqaqpWPcy8t4Nx+RP8q47adqcwROlmOB4I6hTm4If2ZN12Tsvnv5xDv+tG1/n3FcVMcU/t6TlMqGTK4fKYskjQpBTxnpmqb/SgqurZEkDZ8kiinbHmJrcQmBFX5HywrfxgnacampFUl8y/V2YGCAwcHBdIsKyd69L+f0/f+dKJrGcTrXZgs5eQ4d/jXusYcxp0fx1eZ3vb4ULCeWhWgTBd/lquVOO3VPSpzN9qTjnis8NtZwTZrdBUhBSnm+jtHgeJJcp7+l8mU7A7mtuiONidqmRN2HOoraqrZat1Y36AvvP8vcpcoakCJkCkqMtnQI8B1BqGHRWHScZg55viKspd2P1RwWL3DSMVIpwgK5To96Kd4AQKxJDxvlySaPJSWcb/4h1v6qmr4xj9SMoO8qUImiiK997Wv81m/9VvsxKSVPe9rT+OIXv7jpa8IwJFwVsFcqlR729dwq/Xe17HTu7e8ge9NN37Ex0JV0d67kuXpxMQUhTXWF3QqMaJ3+bX1tcTuQ6+ilSqruUbFGWvBCw8LuDnrvuIPH/eBLODl/Ekc6RDpKFS+kx1vBTGGBBdNFwz/KjOng5lywYTTTKotlWTpcU8zwuOsPbDh5XUnd3lXg1s4891bqO3YD3coxuLVvtIzzhOehjG2OZ5pOt0KC6+A0YjpqFhfo9XNM4eA2Rx8WQSJEGt5mk1TWS54yHfjZCn4mRxQ2SJJZjv1Alsc//g/4wB+8ntJYgKneRmexRLcXoYIscX8PKlMCC8pLTaWCYATXTUGY1nW0brajkfhlkEYibErItYmmK9D0+paZSFKSDksigq+9B3QETjdHrWC/lZyRGr+p7knZkxqLZFkpDsUJR8MIEVoKVZdKzkElMg3H05qbirPc6P0N90ceiX+Uxx35DTovnuWrf/4+Pryqa9I1PEKjUl5nf2/pvPoiyjPEVYd6Umum0lqks2LwlV54BEIanEyDxHgUTB2HhNDotSdLAYV8ntnlMkJrvLDeVBitdb1drdLp7r6VI4ffwMWLb9vS9K9ruYI0hkojJKMUruuuueiEJgXL3d5DPHVLeUUS5M1qM66JciTVpTDNuHEEuU4fqSRSsS3Bdn09FKLuTkZRDyXIbzMJ8cihLvysi5dx8DNOyq9J0lyhLsdy0JXk5YoLbsW3XLBQz7tYQxN0pbJjY1IOi+srkkijY4NyBFJK3EC1CbGrK1v0kY6gPNfkAjbJu3bV+GnlA6z818s6j+iMoO8qUJmbm0NrzcDAwJrHBwYGOH369KaveeMb38jrXve678TqtatlHb8+/RcuLzu90tpJl+RKujvbPXfi1a+m9+d+DndkV/u9VGdH2yTNxvGKRf6GFbXocnntY1tcvE29jsxkUp+Ujh4aC3PYWp3cr7yYG3/yDpRKd8Oj3UfZX9zPmcUz+GrlJLUo9zLq3kJFdKKkzxvGBH83f56ndOcZbYQbRzOxvnxQ2xWUFKLdZk+M5kOXTjJerzCSyfNDI0fXjH/am2ILEjOsdQ4Oggye8gj76oicRNQlcsySKOga0PzKQELDXeQ0CVa4uERYLNqmkMViSISHQ0KHrDffHLwgQOk+Ej3F2NlPrbKElyTlzva61Mf3QjCHpcKNP/x9LNY+hDFVtHaR0iNOGpxnL2U6CapVBvVFEAbb0o/GEte1dDUyXPLSE0qnW0i5EJCG6rkZXqozvF5UmRGWDgueNURCsGxDcgheqnPI7iKYhL3LltO5GtqxOEkqV9ZCk8RTHHLyHDn4LCqjD/KJd/7fNV2TJImZOf8gYa26JqPHKSyjslVMnObyJFGE0QkqiFl7dk/P+KnBlkEFMfvEKMPMMKF7yDbBZKtcz8PmcgxWy3SXFqkYc1nX2+7uW+nquqXNk1lt+nfu3DnuvvNO/I4RZjJ58nGI6zjkgxyecrEClqzZOin5O1jruSb1ckqIbXVSVo80rqSr8VC6I9uNouChBfltRcw9cEMfS9M1sgUPx1MIKagsNOgCrgsUDqkLriUdFRWBYxbuWQyZT1LzNmstxqSfRyeGsJakRnI2zRUqzzc2rE869km3Rxwash0e2aJHrRSlT1hHtF29Wys3fV3XYPYRmxH0XR/9XGn91m/9Fq985Svbv5dKJXbv3v2wvufqO+DNaiuDtCutnXQ+rqS7A2z5XJskxBMTTP/eG5HFYqpG6e5OD6JabYU82/6QGzslbS+W1X4ql8sTsuDEBv/Ycfa88D8D6bipBcxeeuwlvP7Lb2CmNkOH30HNu5oz3jNJcHFtnaGgE0dJ7qvUGW2E/MxwD59eqOx4NPOt1DvO3sX/uTjFki1gUEhmefWZc/zK3kFednB78vdqACo7Otqk2/hAhPOcEN0ZgrKpCdaSYHlR8P2HDFkJhvMMMc4Ye5vOsqCExVqd+p3YPHvEJUaYoBIlKOmQcQKk9EiSZWrliW0s4QW21kN1SZLliQweual9x/+NaJAPmhcyLvpJjIPKJAx4kzyz/iGOxCdTOzknta4vXCywfHWJQ1ZxVAYgSpAfgPIUOAE3G5dXJzneJevMlyUiEjiB5NDItbx0epSbq+fbrqndMRyZ8bnYVabqhCS+gxCGfDbtPHR13sK//d9XbwgNdD0fP5enUa3QqFTIFIrpSM2LENKkHBTRNNCSGumYtAOgWDHBa3USLUjHIMQyL8yc5O3meqbCmII1OMaQSElZSDp8j/957fUcvOEqarXaZV1vIR0Drc4WAjh37hz/9E//RBiG3K4F/zJ8kKrr40cRcbiEL7PUXIccgpd3Zr8tAPyh1mYS4LH7FrjnU2PtTsr6ulxXo7XM0ZPzJJEmyG0OKjZbzlajKGBDkF/rferlaEuL++2IufMTVXRs2uvXCiK8upHgAI2mAshx0wygRiUikIKrPcmiNc0INNvc1dLnxqHG9SVRjS1l0daAEBadGHp35XnsM/e2uTSXTi1w72fGicKEJEw9WFhFunVctamL7yOpvqtApbe3F6UU09PTax6fnp5uz3bXl+/7+P4WxkUPU63JztmB7PSh1E67JFfS3QE2fW4rvRhjsEIg8/n0vU6lr5GdnZjFxbWgY/X/pWzn/ZhqdYXPsgrcWGshjtvPXy9/7r3jZdTuumsDMBvcv5/X/eiP8fb8FzlXusC5zONIhEuOBn25PnJuarXfUkB8eqHCX1+3n5PVxqajmZZHRr20TKbYQf++Aw9pPPeOs3fxhgslEjrxbB0pDMZKFujkDRdKwF1bgpXNAKjq7ia8KmLhSdMYH5yGg45jKIDZbQn2rGxvay0/aD/An8uXs0gPeco4xMRWUaGTgAbfbz7CeGUUB4MSoKRHp9+FJ1yyheGmJXxEpqfRdrVNykWcQgkrqgTKEhQKdHffSFfXLXx8/AR/fjGmKhSZZAbJArH1GHd289f5l/Kiyrs4Ep/A8Q3VRY9oPMdgf4OX5jxkEqVEzRtfDF/8/7WVJkPlLE+/kGOmJtFWojIF+kuDDN38JFh+8xpFSnfJ0jUdUe7IE992B+7uJ7U7D1NnzzA7egHpOiRRiOOtdN+U4yCERMcRSRTi+gEm8rAmTTc2iQQERoertm+zhS5bY6D0pxAWbWp8/8BeivMRb5mYYtLLoqVEGcNQVOOX9w3ypJ4i8NAJisYYPnvnnYwqDwb6yJuEH7z0IHd2DTOfydBwBKHVHG0oXjwac/Sbl2gEmU3VLw93bddpcDzVfGzj67braqxeZhLppjV9bUNnZqvlbDWKaqUSe4Hisc/cy/iZRb7+rxeZu1QhrLXCPQVexqFv98rFf7vRU3mhkY5pVnVvujxFMdEklrb/SSbrEFZjlIDIQl5CUULJghISrS1Sghs43PqjV/H595297LbPd/vc9EP7OfS4QWRzzNW/t5j+25fKr2fHKkT15mcTAtdX9O0pcOOzHtnutN9VoOJ5HjfeeCOf+tSneN7zngekB+2nPvUpfumXfum7uWpr6kpkpw+ltuuS4Hkkk5NM/8EfMvT615EsXFl3Z/1zrbVr0ovRGozBLC83FyCwtdqWXJNWmeZzVHd3urw4bgcBthxkEQKRzYIxJLOza0ilwJbArPP/XOJ/vfY1fPJokd+9ENGnJB3uwJpZ/WoFxMlqY1MFRMsjY7Xyo3t4hJue9wL2XLszzwhIxz3/5+IUCZ0EVNsTLiUMAVUa5Pg/F6d4yQG9YQy0FQCNZ6ZYflYZE4BYtOAmaY69IJX5rDoylYBrOMGLzdv4qHw+k4yQUEhVO/Yiz7QfYK+5j4IERSrdtSTEYQ0R7GfPoafTf+QfkT134Xc2EMqQurkBBqwRCOkyUXoD3sJ/prPrCfzZXI66rTMcOIS1PJGu4MsIzy6yKLr4ePa5XBvfSxILRk914hnJixs5bg4s1GdTNcmNL4Geg3Dnmxl9cIxPnPeItCQbODiFfhLlMzd6gU/MzvD05/waeybfv0aRIgaupbhOkTJ64h4+85fvol5aRkhJDYFwFG4hi5fNEngBjucShyE60bg+JOUOdC2Hky+jI4Xj+UT1COmn+5HAYrVIgcoa7C+Q0ufihffQ+Oy/8uNjAQu79tPI5AnqFbovnWcpk2XU+8Ur2p/W14cfHOX/dYywOJDDSImylp5KlSeMXiRrEsqOwk1CfkYcoV91YMKI8mfG8A90fEfvkLfrNJTmGqld/VJ02a7Gdsv0s047P6c8X6fQk2mDle2Ws34UtT6VGODTf30/jWpMHCZNY+2UGxbVE6Yvlvn0X9/PDU/bve3oKZN3KYeaWjmi0B2kYMCmURRWgNIWT4AoxwRYrBQYmzZKvFVeKEKA1pbe3gABRPVk7ehmk6otR3z5Q+c58+XpDbb4LbXSyc+Nc+Jz41QWUxO6VIG0A1XQ93h910c/r3zlK/nZn/1ZHve4x3HTTTfxJ3/yJ1Sr1bYK6Huhdio7fahE2q26JLpSQc/NYcKQ8P77GXvFL+AOD7e7Ezvp7qzvBNlGI839Uap5cAnQGtN8nTUmdZXdSWtZa0hiZEcRU6mm4Kd1eyolTm8vQ2/8PVSxYw3nBmD051+27fhq4R3vouMP/xgpxyi4zgYWO2yvgBg9cc8G5UeSxMyOXuAT7/hTnv6ylYvL5XhBHxk/xZIt4Nn6xqgUwLN1lijwkfFTPH/3tSvfxTYAtDboEHVH6GoqwaXISrSr2HjOksBRTnDInGSM/dRFkaIpsbQ8zsF8RLZJCm0pEWTaOKDSGGf00rvpvv40jXoVhEEq2+4aACQNlyDTRbl8kpP3/TqNwf/K2dqRtkeN4+SpLQeoIB2h5KkwrYa5sHQ1hW8skp3MIQU8xsZQnl3ry3Hgydg9t3HX636dyJkk39uB8HIgSFOCuz0qC/Pc9eUz7P7Nf0DM3LulIqX1nTYqZRASAxgSiGKihQZzjXmcwKeYySCimLBaRjkOjuuydGYvXdeexMkm+H6B6mIZzxMpaDOC1g5mTYre0q/KQ4kBGrVLFA7UMNXbKdbLUE+5Wba7J133D76P3dcc39Hxb6xdQ8xejhPeMLXMQiZP1micJCFBMp3N8S+HDvODZ+/n6qVFajYkzEcIRyCzDslMnXiigrfrO8M52AnJ1cs4uJ7ctquxGlhttcxcp095oYFJLNWlELdfbbucVm0lLQb4yFvuJmokaG2wVuA4oj0eMdpitcVvJIx/+hLZxGCym18aHVfheArHWfmcUZM4K43Fbx27zWWnY9r0tYG17cgA2wQ3B27oS3N94LJ4whqL66stYwrGzyxy9ydTQ7lswWtv//kt1FKPpPquA5Wf+ImfYHZ2lle/+tVMTU1xww038LGPfWwDwfa7XTuRnT7U2owD0xrPWK1T87TmeCUeH8fWaiRJgrtr12W7O+s7QW0wISVWa6Tvg6NWAEa6oPQCsb6r0vp7c8QjPA+LwB0eTkP/HnggBUWet+12WS3P3W58lR8b21SC3KqtFBDWGO764PuI6jVy3T2EukGY1FBSkevuobrq4rLZ+Gk9L2i8Xkk5KWJz90cpDAbFeL2y5vGtAGg1rjIrZ1GOxa2AdUG7pCCFlRPcmu3S/OlguZpUUowR/ON0gauMha6UVNfM7MNqQRIJpB9z7sKfIhEoj6aL5tozopuJ0XYOdEKSGE6M/T018SsU/QyofHO0EhCVJI4vEMIQez7zc4fp1XdTi6E726DfW4a+jb4cM6MXWJgvEXT1INalEQshCPIFFibGmRm9wMCBzRUpq7/TYm8/85NjxFGIkc2uiIWgIajIOiIM6e7voad3D4uTE4TVCqKUxfUfS991s1g7h5OJsVq1rypCamzz6iJECliiKjT0FFaA19HALZbWEJHXrPuFcwwc2D7w8M7FclvqHluLA9SNJTGQj0OUSNVrrjE4OqHs+3xh1152Lc0jhSQjm+cHJbEmwdR2LlG2xhJPVDC1BJl1cIfzV9SN2QnJtV6OuPFZezl39+ymXY2RQ13MXCy1QYS1dtNleoFDoTto+7FUFhs4nmovZ7uL7WbS4pmLJRanamkuTy1Jk5PFyrr3uYKrXCgqELUYI6Fej5kIHErO2g6pTgyur9Z8zllt2C2hsw1SVp2TWbnpGHIkF+spCFZOymHZdbSbxcnq2huTLZogLQPczfKDVoM+P+tgjIXmeOpKVFffq/VdByoAv/RLv/Q9NerZqi4nO32otZ4Ds348IwArJTKTQXR1pWAlbBBNTaGyqRGVtRZTr6Py+TXdnfWdoDbYSBKEUjh9fWtBSQuYbCY9Xg1ajElVQfU6yeQku1/7GhByR9tlp+TkI+UlDhaHNpcg21Tds5kCYubCORYmxrGBw1h5lFCHbfmvr3y6gg4WJsa5+JEPkfzft16WFzSSySOZxViJ2gSsGCuRQjOSWZs/stnntMBcfQ5TBaVFSqBVAiGaBLu2Zzgr6KT5f5eVuzUs2EgxPJ7F212jUVYgFMo1KFcjpcUNml0WXcYIF7BI5WJttG7hYO0KZ6NgF5G2TrlRokOAcvLkOrspzc5gTIzJgKtCBvafonP3BPlKhoM9z0Fc+/xNfTnqpeVtyLzguC5htUK9tLzp31d/p0GhAFJQ9zUqBmlEM8DQIjXkahB6mtPDp/hfA8vMPeVFXJyXPPCVL7F4boG5B3rxOzMYyjhOJ9kOn8Kh+3DzpfQQAIyWxDWFwAMsNgF8jbFloPOK1x1SkPKq+8eoJKatUFtONMtRggR810NEUdqqb17wMnHMXCbLaC7DNQ3oVR3pwnTqmCq3uOtfXdYYpj5/ivhrS8gySKEQSuL0Zyg8eXOX182qLQFWgpw2uNYSC0FVpnOMFsm12JvZ1AF2/MwiH3nL3Wu4LUHeJQ43J856gYPTl0qer3/qbvYc69lgCrfTaq27dNIveLVxWo+Eaz1JK6bTkKZW57TlqnrMgxnaYGX16OnYE0c49sSR9ueMvzmDuGduw3s37xtoGEteCQaKLg1f0agl9O3K07e7QO9Ins/87RnicHtPKkFKxHU2UT/NjpWZu1QhDlOOT+ucoVxJtuhdsZfM91p9TwCVR1JtJzt9qLWeA7NmPCMENkmQvt8ODnR6e0lmZrBRRLK01O6GyEKBrp/48TVdjPWdIBNFbfmxMzSEzKXkVOl5mEZjrdpnO56K4yCUSsdfYUj1S1+i92Uv29Hn3Sk52e3u4pdHtnCH3UaCXC8t04hqzOsKBoOSreh4SyNpMJ1E9Og80//4j3TtQD31QyNHefWZcyy0OCqr1xWIRIZuscQPjTzpsp+zkdQJdYiadpAzEXbAYsMWSGmdX1b1jaH90xqgeYPnagnjnRStRCiLCSXKA9fXKUfFtG4ZW0AkZmeHu2Av5xligjG7B78xRS53EC+TId9bIIymWJJdjCRjjFTHEUFAflCwENzJQvAsujcBp5l8AYUhqS7h+gG4rbwbi1NYXkPm3apWg51GUqeuYtycxGuA1BaaeVFRRnPuyDITPRGnF09T+Pc/5t6pq4kSmiPAAklcoDxlsTZC93dhkuvouuErmNigE4FNBEIopCtB2jaHpTrfIPDWSpSTOEYqh0yxY8t1N9byloszVBLD4CobfkekfhvWQs0LKMYxRpv2Hb8yhsSB2M3wGLFr5YaklgbzucObB/O1avTEPZz+h0+xt3oIJVxiGyIcSa7QiZ00LH7gAbqef/WOwEqQd+mRsK8ek7NtOE1NSsZ9xYKhDT7WdzW24raUFxpEjYRGNSZT2HjTYrTF8RR7jvV8SxfXlny5NVZd3Ty+yk1BSsM2I6YEeAWPeinCMzDcSFjOCLS2m46eWus1OlFJybRiJapKCIG2ltBAgiAAPGC5rvEzKyocIQVHbx3im/9+KX3hZqdcQdsdFzaqny6dWqBRidNmuFrpGMWhprLQINeVmu89Ug3fHnkhNf8Bq8WBaYXnmXq9DRhskiCkTDsfzbJxjKlWU/7A8DBqZCRNCDaGhb/4Sypf+MKa5eduuYU973wHu97yFkZ+//cZ+K3fwh0awlSrmEYDawyyo2OjvHgrkCJEOo5quw1Zlj/0YUyys1Z0C5jp5eUNrret8ZW3fz/BNUfb7rDX5DPUtGEmSqjp1Etiq3A2v1CgZhqgDY50kUgEAonEkS5oQyOuIScnd6SecqTiV/YO4hDRIIe2aSqOiCWJzpKJQl6CZv7CeewqoLfZ59RWNy3bBJlPKdqGpya90xPCIqTFWoGuOundfKskCAOFhsux6W5GFrJQd1JPBmVxg2QtSCFd7sqJT698Vmtps/zWTYMk8MPiIwQ0mLM5qkkdYywNW2NJdZMRMS/wPk/34BBd/XvI5EbQusrFi2/DrvcUP/cZ+j//KrrNJI3FGezCeVg4i5cfpfuxX6Lr+q/Qfd29DD/xfiZKb2BhYe2+26pMsaOpXIrRRqcXbFcQFiRhJiH2E2LPcP7YErWekETAYraHu0azROUl8l09uJ6PkBLX9yk2j6fS7Cy12YC4lEMog00EIJGOapMe3cDQWPaoTKUqo9X7aqNSpnt4JM0R2qLurdQ5W2u0OT+tUkKk+6WAGIFf7MBxHYy1GCyxFLgWbpN7GFG92FhjStG2wXytavF5ekuDONIjEg2sMCRxRGlpDu0m2FBT/szYmlC9raoYaa5RaadBAxEp5zunDVfVY7K1eFOfjvU8lJb3iOOpNhm1Voow6+wQWt2LnXh/WGOJLpVpnFkkulTe8Hla8uU41kgnNVrDpgnNOZH6nrTuyVxH4LuSQoeHdgQZY1HliDjU9I7keMpPbc7z8Lp8tEgP54aAUKQ/G0KgRcpDM0BD202Xc/sLribXuXmHOf2Q6fmhpTRarX6yxnLu7tn26dpo2/4HKWm3thw9avj2aH3rtbrz0bKwxxik7+P09bU7HwDJ7CxAG5yYubm0U2IMplpl/Ndeycib/5j8rSuJses7Qf7+fRv4Nt6+fUSjoylIWu+jsrqkRFi74mALRA8+yMWfehH9r/y1y/J1rpScfKXusPPFkOV8RGFZkTirbp8AYS1+rIjciGy1hshvfie8Xj2VSo9TH5VKkkfFEifRDNYmePL5T1KcGuWDjV569l3VVhVt9jmVFHgx5OoJccNDf9zDualOPGwR2fSEaRLQNUV6hpOQeNQnu6hPJzzGKXM4l0U4HrEIEfN56sseue4QKc0KSLEgsGmb29C8JbHYpHlHtcIfXSlDmgSI5Fpxip/nXXzI/hCzSZZSkvI29slpfsz7Atc7k4DfXJTAcTqp1s5RLp8kX7g2/a5Gv0H359/M8eVT3LS3j0+c9anEDh39S3QcmwVPoEMHrE++p5Nq9X5O3//fOXL4DRvSjvv3HaB7eITZ0QuoYrbdIRPWYqRBWUW9EFPriIkAxwpk2WUhCghUhEjq4K0ow/xsjnx3D7XlJcJqlZl7+hi4qYyb09gkNVYRUrczgGbv6ccYQ9Ro4LgeSRzTqJTxMlluet4Lth3/LkTJhlwqgIwU+FJQ1ylSlK5LT3cPcRyjtWYusVxTgyeWJcZEKcgayl12ZNPi82SiLMWObhKiphtwekduEk11eYnO3sEdkXKtsZQ/e4nAlZS1bitmjIDQWjwDBxR0P2PPBrLs9NenEZNVejMO623MhBBkOzyqSxGVxXANAXQ7Au5qro2uJ1Q+e4lkpo7VZmWs9aRdlDzVHj895hl7+MzfnMEkFpMkJInFdWWTvy5wgECAY0AvhiAgqwQ4kptuHyE41LXt6Kn/hn4WPnwOP9TEgvY5R4iUTOsYqDuS48/ZT6bg4wYO0xeWCasJQd6ldyRPtphui61KJ5aokeA2R0ct9dPsWJnl2foWX176I4kMuWHvUcO3R+tbrxYHpn7iJFOvfS3x+DjuyMhaJVCthg3DdESkNXpqaoVw6zgpWCmXmfzt32H499+4JadmM75NMj/P5O/8DjKfRy8vp14qm9V6+/ymh0p04cKOc4+ulJy82h32crUclXjgUMQNd2dx65bEA6tAaHAii3YFE7tD7Bl5Rd44Lzt4Ez8+8wX+/d3/j4t7FPLaea7KP4C63mCPC6LFKRbuX+IT75hpq4rWf04njslpxaV+y11PH0Eg+MG/HkMPCKZu8Cnur+DmE6RrsSqV1lbHjlCdKhBXlug6XkNEZ6GxTL/nMljsZvnkMLnbLzTzRpoeIM07MGsFsgY2n46SrElzbTY98pv9fNEc4h/jJEf4Jnbwf1J3h1kceyuHvQZqk5N1y1zuc4sl/uLcuZQwWjO4e36R3Y15fvrSv/G43Q9yZsYhuHYZHEtSUThBhlxnF14mk0pFo2kuXnwbXV23tNcDUnB70/NewCfe8aeEpRql7r0seS6FRp2hyUtoxzBxoIwVlmVhudo4LLl7uX+4m95oiRGTbGgfZ/IFdJJwy/N/HIB77nw7vcencPN1hAzTzJ9Kgcr5q6HhopwlTJJQXVpEKoe+Pft2JHXv3iKXSghBv+cw1ojQFnSzk5IoxZKBjozk146PoHonCBfK+N0Fem48lHZ7tqkWn2cwtx+BxLBy0yFILdp1HJPoGGnEZUm58USFZKaOU/Qo5CzVUupCa5ujFO0Kun2H/lXjm8bZJcqfGSMer3CNtdg4oa4N475aQ1ANsi5xQ1PoDmhU4g0E3NVdh9YyW6AECybSCCVQRQ+hHNCGcKzM8p+f5D4N882RVNdglmNPGmbsvoW2j0qoDQaJJwWBSMc2SFZG3nE6T+wueORXjZ42s9aXjqT4fbuo/evFNESxyXeSgGMhEYJx32H6wxeIQ00SpedP6QgcR6XS7sWwnRm0aVkozTVwA0Um77ZBXL0cETXWpjg3v+w1v++/vvcRSaSFR4HK91wJKcled5yB33jV5h2H+TQ6XfX2YubnVwi3bXMPhTUGU6sx/aY/QhaLxBcubKpo2SyQULguQilocVma4IfNxjpCpO8t01GI6unBlMs7zj16uMjJnUEny4OSBx4n2HtaECxbRARWQr1LcvEITHY7yLMD6PMTO/bGscaw9M53sZ/TZB5XBs9g6gqtHYSy+D0hgzddYOprzhrJ6vrPuazHeffce6joGh1+B+ZHRrj132ao3ZVn/htdFHtCvA6FCHrRySDWQqMyT9+eq+h/xWuhKeEV2R5umoPPfeh/glGAXuGxNjspsiZxy4YYsIWVx1vz+g2EGw1CJqTMDIMSihv7DyGE5Jvjk2CzrIoWbJcxESfsMf58PEfN1OkkRtQWWDY+97ojvHrXj/PcsQ9yU/cJ8j0hyghUEOP2dIKXcq9SKfRKZ2a9e+uea6+n82d/gbdcmGLCy5AIiTSaYmWa3cv/BP4Uy8Ki/WsYKzyX3x4epHLQQRlNf73M91+8j6sXptrLS+IYpRyGDx2lf98BHvzqlxn7VJGuvQ7Sj5umeB2pLVA8z8iRYzzxJ3+GRqV8ReaBx/OZLXOpckqSlRIpBNrCTJS03ZV/3JSZeeubOL3aB+gTW/sAtboNjfsXyNOJVmngpVwHVhCiaXGgEdK7LCnX1JJmt8LBdQWdgUMS6TYpVjkSU4nagKdxdonFDzyADTXCT5U2yrbGRHYNQbWlonnKi44gBFumKa9epnElVkpEOYIkHXVaY5GuII4s5YbGs7BPCeo5F90MRizNNXjyTx3GbyqUGuWIzJcnETO1JniXaynmzc5I7cQsuZsGEVJsaXj32GfuhaE857IuA6WQnFw51KpKcN7CfDlGubLt44JNuyQxhvoOuSPWpPygJ7/wUBvENSpx+vmlaPuzrB/nIiDftfG43cn7bZdy/Z2qR4HK92ht1XHw9u0junQJrF1DuG1XU1osPI/w9GlkPo/T27ujtOcWp6Jx8iQmDFO32aYnSlvWvLpahNom2Vdlswgpryj36OEgJ7czg/QZ6t/fR27R4oaW2BdUuwQz9VkOdR5i9y+8mOnXvm7H3jiN+04Rnj/H0s80wDMkFSdtqZPKgXVVoHIJvccmmfhczxrJ6urP+Xjgdyf38a5738X50nm+MpJw93/q4tYLXfSfkdQSgdVdOJFLEkdrRwyOsyZULh98gZEnXiTRG1vGQgI5jQ6bJL9xIIa4T6CVwCQC6Zs0mM+m/Bea1BVsDEKSzx0iXzjGqYVTxKqbOLpENhjZAOyieJkP8wvUjGLQd4hLJUqhQtqEjniZUq6DO697Eoe/eYKcgawBVxjWknBWOjNxvLGbd+dimT+KPCr9I/RaQxLXWEoipoMBZntexPHlBlcJydeLL2FJZOhMqqh6jVC6TBZ6+cejT+BHT32Rqxem2vySvj372oCj1bFZvFgjyHfguGu3/83PewGDBw9d8f4oheCX925NCu/2HP7g0C46XKc92uy4cIZPvXtjltFmPkCwttugopjH559BzZaJRAOfLBGrRgNNBZxIBM6uzGVJuTLrIJQE3YzvhTWZOjbWbRWSNTblvYQaWfRQQqAqMUlksBI8axkJNSWV3ty0Rhj9e7a+ALaWqasx1cSgK2n+U7bZtVDGYsoxwlNUSxHGgpaQs5Y8UF0l0f3Gxy/yQ798Q/u9KgKWPvxge7u0z3CmJVBw0bMN4okKM5WYf/+r04S1dPziBSmPaW68yif//L702DGW+axL3oBMDLVYs1g3OK6k0BOwPFtve6m0a30nZPXj7Y2Q/gjyDo6r8LMrXJMWgdm0uDmbLFvKK+enbAfKvtN+LI8Cle9A7SRocLParOPgHznM2B0vp3HiRNrpcNZ5iDS9UXQzr0d1dCCbo43LpT23OBUTv/HfMKUSdnWGT6sduk4JZOM4PaDzeUy9no6krjD36KFun61KCslLj7+U13/x9czUZ+no6MBTHpGOWK4vk3NzvPT4SykM3Yy8gvGTXlwk6q2hu2OSumqDlJUSmIbELdRwi8vbSlZvHrqZxw8+nlMLp1hqLNEZdHK0+yiXTt7bdtMNq5VtRwzWGi5cfCvGlhFCIZBNdc/qjQG6C9QydH/cY+H+gIs3FBE5g6iD4yX0Pn0OFaQXEkHqf2YtRFYx49zAOz/5C5wvnWeXqvDsfIVM/ABZv4+c14ExEUmyxKg8wpTdTaebgrdqpYa10Ip9yYY15jr6mcvvZshMUtPguwLk2v3XmAghXFy3a+3ja5QzTd+NTECn7aZanWRO+0RdP8iogJrw6TOzeIDyHGzs4FRLVHIF/m3fteyZvEi0Cb9kz7XX8/SX/eKOt/+VVIsU3vJR2S6XyhrDP37oHzbNMmob5H3wfYwcvZYTtZCpC8s4n73E4UWNk3VwsgG2sUxOF6HZGfPIkBChScAIMk4OlfUuS8oFcIfzOP0Z4skqsrjRdXa1Cqk1JpLZlS5vruhRXmigDcQCMsYQhJq5ht7WwK21Laa/cj+N0UUajQSNg5QyNVFrGqhpQMWapJag41Q1ZUh9atzmuWqrQEOnO4PwVDoybXUiBAhXIQsuwlWYSoSuxHzh/WdTx1cgaui2H0qm6FJZSB/vGsoipaRFuU7CBDNTRwvQsUlHZq3TZwugtMa0q0c+m4AUAM9XJLFtd1Fa/BTlSMxm8ubmax1Pbaqs2qq2cyH+bpjHPQpUHubaSdDgdrVZx6H3jpcx8Zu/halUUrDSNISzunlnUyxiZmbSFu8qLom1FttoIFyX8MwZ6idOkr1ubXs9d8st9LziFUy/8Y0rhFohUml0Npta7UfNu/ckaUudk7k5mJ9Pc4CCIFURtd53GyDyrW6f1bX6fa7r6uLVN/933nXy3ZwvnacUlXCkw6GuQ7z0+Eu5eejm9ufd6fhJdXVhihKkAe2ssTppr4MWICxOxmwrWYUUUB3rWfvd7rn2enZfc3xH+UTl8kmq1fux1iKlk66NAWviDSe6ri+4ZEYdzvV3UZ13KVDDzWpMXTH7iX46blzE60mQytBQlrlY8G+1DCcnPkzWydKb7aWiOvl0I8v17iR9Zhp0Bc/Jkc8doaPrFehxD18Kkii1r5dS0ExTw9EJdT9DKeokKXm4nSGR8PCcFd6RtZYkWSKfO0KhsLJdjLW8f3qRE5Ua2RbysZBEIUlSwdoSeSm5ZPeBtRRMCSMsDU8S5Hsokqe6tEAmbDCdKTIWFLm2u2dT8HEl2/9Ka6ek8NWeMZuaq+ULfDUW/NVd9zFmJWE1xjmg2Bc7/Nwc3FyFTFcHpblZfBMQ0kCLmAwFlFVYaXEHc3Q9Z2fSZCEFhSfvZvEDD2BKUTp6Id3FZGzWqJBWj4la5bYM3JrcFseAiPRlDdxaERhyGo4HtxMlVYR0EG4eK/0mn6qtO0Akpn3Rl03MEa9WWW0SaCizDtJ3wEsVWK38H5oxAK1u0YUzi8xdSg0dpRRtY8U40iTzus3XSWKD56/sK20eT2KIw1StdtnuCWz+HGg7AJfm6m1fmtaytytrLL0j23fOVj/3ci7E32nzuEeBysNYOw0a3Emtv9gPvuF/MPHr/xVTLqcESSlTr5V8nmRhoW3YlkxPY5aW0o5HpdJWB2EtU699LQO/8aoN69D1Ez9O6eMfJzx1ClUsIhwnJe7Oza1VA7XkzEql79d8TxNF7WUDWwIR2Drv50q3z2aAZ3D/fv7opS9hLLdAdXaSXN8QR255Nkqt3e13On4KrjmK37UbGc+jlCXR63oq1iLc9OSUL24vWV3zsk2CEy/ncgoQx4sYE8MqyCSkgkSnMuEmB0XGkCwLTjsScyBm72Nn8LoihErXNVp0WfxKJ0nsEHdaHjhQ4pKbcMFTaBuR2ARfpSesOXr5ZNyNrF7iscVOfmL/T9LZcQNCXIU7cZHQWJROJdhSOaDjFMg6Lspoco0q1RNFijfPkxQdlGkgpdfuzCiVZ+/el7eJtC031xOVGouxppRo5hsxuXoJt15Pia+ORlmHWHkIYfGQCOFjrSGyVTKZPrzBEaKwwWxiuO5FL+H5Rw9tCT6ElDva/g+ldkIKv5xB3oWBPXz46C0QJvQ4HvmGIVaCBwJ4wzD89wm4mSzF3j7qi8t42uer5c8gpKKnd4TD3/dkdj3xMVd0kQkOdqIfN0Dp3y/hVmKkTTtvsaco3jbcBjybjYkgBSudgUNci7Gh5vHP3s/AYwe2XIfRe+/my+/6O0QMntuBsRYlHbRN0NEyeB0YvLb3CTSNnUV6oXWAqpKpIV2zNgs0XN0tEkVvDWhsd4sGc3zzm3NYA8pJfU+stZgm6Gh3SCxUFkLyXbTziYRKOUkrkukWY33t591q+rO+dGIJ6wlf+eh5rIUg5+J4MuW4bLOAONLc9/kJrn3yrsu+x05ciL/T5nGPApWHqbbLedlu/LJZbdV16LnjZSz+5V9hajVkoQBSpqnIrS5Kk0Ni6vU05bhFjm3ehsSjo0y++jUMvX4tIBBS0vfyO1IQUa0hXDftmLRASguYwOZSZiEIH3iAid/4b+mxo/UGIDLx6lejCsVv2/bZDPA0Tpxg4hd/CTebo1NKhOtyaf+HHnLkgZCSkR/9L8zedwdOX0hSczHNAZCwNg0lyxjicpHHPm1n2U/fSnCi63YhZduvljZYcRyIYmzzhGg1LJcNapdl8PtmkZ5B1wXUBcKx+D0x/U+d59yX+ihNFih312kMKSI0SioiE9HQDTJOSnodURWOF6p0Ms+5C2/BVRkymQPsdX+FB0KfXpn61lgkQjpYk1DzMgwtTTI8f4ma6CL6WidXPztLoqdIkmWEcMnnjrB378vb0uTVbq45JVmOdUosNprQy9JlEzxVxRpJjQBrDEJChEsgEkCgTYgxdaTKoF2PQBqu2rPn29IhebhqtWeMuy5ywACf2nctoeuxx5E4CBIgsOAnMOPAn/XC46vgZbK4fkCy1ODW73shweHuh9wdunR6gU//2zhRQ9Obcdocm7lGgvdv4zxlKM+uI92XHRPJ2OCO5OndBqQ0Hlig9Hfnud59EipwMMYgrcKRLrWkjMWg4wqx14NvLZJ0aqOcNMNHxRYtYdxXbZnwVoGG67tFMuuk80ptMLUE4SuWBrKU71tcAUTGYpLNUYHRqZFdoTtI3XVdiVSCxFgcT6IcQRKt66qIVf+2QysiVTBZY2lUk/aYKWokW7+0qWYyBk7eOcGxJ45cFqC2XYidzfeTzTpTD3d97x6tj/DaKucF2GAotl21LsLh/fcjs9nUUyWbJTxzhqX3vpfun/lPBNdemyYUT02BMYhMJpXcWrvWUK2l3kmSlIxbrxNPTjL9pj9aY1RmjUHmC3T+2I/hDA2RzM+nrxECGQQ4/f0pWFlfTRKv8Lx0febn0w5Qfz8yCNKxVPP1plQmeuCBb3n7rAaEqr8//Vy1WvqvXseGEaZeX7PdJl/zGqpf+tK2y92qFgo5ZmaOE2sHJ5eAMhgs1rU4xQQhXfYc2BmfoWXKNTt6ATcTkO/sws0EbcLk6Il7tn19oXCMXO4wQgiMWUVKlRI8p+3fLSbBGQX7lAbSM4R1RYIkUYLYSup1Cb5l4LolrNTEviUJOsGCQqXqhKgGjRLDZpYnehfpkyGhERhZQKkstdppnhm+jYyImEOiPRedpJ4my5kiQRLy/fd9FpHrxfY6FAYHOXLN73D8+J9yzdE/5Lrj/5cbbnh3G6Ssd3PtdBwCJTHGIIzBCkHZy1ETAdNygHnVSyh8GtZjih6qxmtepCzW6nbkwsFssCFy4XutWp4xjXJ5gyHieKGbmVwHeZOkLr+rLjoC6NBwwYfTLYGHtijPZej4UQYOHHxIIGX9KKAROCx7ikbgkOvwiULN1//1YntsUnjyboSvMKUIG2ussTs2q2ucXWLufacJ4ixGaCIaaNILsSscsk4BRzhYm2BsjCYFb1qAiAxZ36Eq4aSGBZOuexLpdGSyBR8mONhJ1/Ovxh3KYUODqUTpz6LHKQuf/cwEYT1pq3S2Aimrt1dtOWp/d9KROI4krCebElpbE1KpBI4v2yTdNdXkw/hZp93I1s31WJ1d1F6mFChHNDtAEiHTsdHsWHnbdYcVJ1+dbK6T3qwz9XDXox2Vh6l2mmezHel0J12Zyp2fZ/fb30bpo//M9B/8ATKbRRWLmGo1DTVMkrUdj1agYFPRY5OE8PRplt77Xrp+8ic3dG/SFbGori5UZycyk0FXKulFwPNW+CotWfOaD9A8osIQMisXB9HkvCSl0lo/livcPrACCIXnkYyOroy2muMtHAebJNgwTLOSrrBbs7pWEpkVHeY4HVedw83VwEm5HVIpHNejFH+Eu+8+uaY7sL5Wh+xtR5jcLpVXCMm+vf+Zk9WzRNEsxoSAQoimD6aSSPJ8NhKEL4q5aaSGrDkIm+bjIGlb98ehIFuMcXY1qO0ewHFciBbRJgE0qjwF1nDDYIxrLGXrYITAUR5KBUg5wDXRPbzCfT//kvww9zuWSjaPNIbBpSmeevLTHNbfJP/4ZfyuBL+Q5cTJXyaXPcDevS/fIEXezM21R1jq1qTSVGuJpcOc6MOikGh6zDyJVSw53UzTTbdZJk+V0CqWw2TLyIXvtVqtQKoszBPkC00FUsycG2GUoiOXa5I+JcKV2NggZJpOVBKw6Gwkuj7UutJRQOvC3/Y8McmOzOpWK4YapopUKWHdSkM1rpIjNb10hIcr005TRQkejC25/gy3P+cAKu9COeLCx0eJNwlG3IoPExzsxD/Q0TaTm5up8emPXSQKNa6viOpJ29F2u7JNh2mdGMJaQhIbMnmXY09MPVwWp2q4vlrhlDQl0EoJpCPJ5F2OPmGQuz85hhsoksgQ1hOssakRXqU5biJNfIaUOyKVRK86zwuZdouwkGiDcgQmMUydW76sxLjl5Ds3XiXnbuyKbdaZerjrUaDyMNVO82xWG4qtr512ZcLT9+N0dyOkRDUJeCqfh6EhkqkpbBiufmEKUloXP8eBKGLx79+Lu2cPU6973ZoRil5agiRBl8uoYjqPFC37/FV3exsk0qv+vxkYEX56orFhCKtcd7faPlsRcvXiYhoF0IodUCr9bK331HoNqXh9t2an0ugUWLwXEczQsyuDibMs3nMrmZFRCgfOYJIEE2XI50cwNqJSPb2lyyrsjDC501Re3+sjjheaip+kKc5yyecO0+h8Dp+e+xtuyHkodZ66J/GTNG245RUhLNhEInxN6WgAQaGZS6Ko25CMtQRC0BsoOryIhrFoqwmcgIwTtNfZcTq5Ov40zx/9KhcXLKfFfsbHYrLjU2QGK3Q9YQ7H0/g4+JnhbbfTZm6uGWvorJaoZPLESmGEBAQ+DTrNMhkbYrF4WOboZpk8CR4563JNPtigrvlerq0USCO7O8llc9jm8YMAlfdIlhqplbwSOBY6GxpTSnZkt3+5eiijgPUX/p0kNrcUQyLjIGqrVIak3YaGrqOEy8nSVwh1Fb/3NpbiLrzA4XHPOUCmCUJ2ASOHu6/Y/0NIgberkHaQ/uUCUajJdfor2yDahrAq0tOO0a37M0scavp259sA6Yan7mmv0/JsjdNfnKQ0H6Y3gq6keygFU17G4cRnJ7CGNkhpdU1atvhYSBJD6zY4k3fbiqRWWQO6ZYynLVGS8NV/uciFb85tC9qEFDz2mXv59F/fT3U5Isg6l3UMfrjrUaDyMNX6oMHVFyPTHIu4Q0NgTXO2vvEkcCVdmc2AkcrnYXiYeHS0feFeA1KgTYaNZ2aY/ZP/vaF7IzOZ9OJvDMnsLF4uh8xkVkIMNymrdbpuzY6MUKqtOLJap783zeJMrYbt6trWcG07ZZDs6FgJU2wa360BRi154qpuz067Navr3Kn34x/4GCMdjTSLx0h0LYdwopTVX8+mbeY4xvXTDsNWLqvw7UkUXlj4Aqfv/+/opEoQ7AEMSVLGmAZK5bnq4G8wZTtx5Hspa4tGITxJKARewyI0tMOgPUuoYKoIxhqiJMIxMYo0rTVE4snU3TW0AomlV+vV1JjUAyWcQ1fmuN4Wud5pYPfCdLfg3FVzRFlNJgFhY9ANlJvdcjtt5uYqlcJPYvzqMmUvQyXIkg9LdLsLafo06R1klpABZqiS5xeHfZ40vH/byIXv1dpMgdS7dz9fvvfCGvM4ESiczoCkEqWuvFXD4SWzI7v9y5U1Fq8e0yvBRprGKt5Hq7YaBbQu/DutlmLIKXgo1yWJolRhg2hLjpWV1JMyc7pOh+imd3jzTsn6YMQrqc06SNkOj9Jcfcv4M9UMApQW/JwDFm77sYMcahrFrV4nayxB3qXYm2kDqUzBa4MpayydAxkmHkgzwqRK92uT2DXvX10KkQqUo5BKpDlGzXFQ2lxpqTabzWVPEmSdHUmMdx3p5ikvOtz2UdlpZ+rhqkeBysNYxWc8ndmzDxBPTKC6u1N/k6WlNjE1tpZLv/KrW8pxr6QrsxUwkplM2jVpdhZWgxRrLWidep8kCfGlS+l7rs7GCQKk72MaDUwYYup1ZCaD09eXGs+1liVESijVOlUgdXSgZ2dBCHQcY6en07FM60gTAnd4OFWEbGO4Vrvrrm2VQd0/++IVKmlrvS9zQWpvt84O6idOXlaWvLDwBS7Nvhmvo4pNfIyVCGlwCstIJ0GHfnPckqzp3GznsrodYRI2pvJaY6ifPEl58W50DrL7j3HhzJvQ4SKe24NQGRDgOLm2Ff3oxbdz3fXvSs3vFu9nKfDpkXWqrkvDlcjEoo3GdVy6AofJWNKo1ylSIjSSgSjhVuPxBRfOC8OUgYTUaKvLSHI6gqSWpiHT9EBB4kYaHL/9VWT7QkwuxjfNNrKJ00CjbbbTZm6ujuejPJc4DImkQlhDplIn9lycTDp+S0/KGk84hE6ea3sP7jh64XuxNlMgbWoe5wqW8g4F4FeGu+m7qXDZDsblqmUiZ2fqXCtTT5CG1oz7TttZdvUooHckT3SpvOMOyvpaUQxZcp1dlOZmMYlGSpmOR5AYNConuO2ZP8Ge49c9LE6pm3WQvMDBzzo0KhsduqUSbYCBSMm2/XsKa0BKq7YzUVsNaK56TD/jZ5bT7oxZ1UlZXRbKc6ntPqycWpUr8XOKsJK0XWqlglyHf0US411Huhk51PWoM+1/1FrTAQgjbL1OXKulMt8wBClxBgZQHR2YMKRx332M/8Zv0PcLv0Dnj/94+2K5XVdmfddhu6C/9vs2rbPbY5tmd6O1HhizoXsjhEjt+icmIEnapm4ohczlMLVaCoKiCKtU29NFz8ykCzAGPTa2VnGkNRiDbdTp/tmfpXLn5zc1XMvedBOjP/+yDV0eGwSc3bWXhTCi+zN3si+TQdRqadL0ulRnYMVZd9V2cwYGmP7jN28ZL7CynU2aCkyDpO41iWkCaxQ2dsGNkW6MDlP1zerOzXYuq6tD9pxub+McuFKmd/derDGc/ru/pvyNvyc8+CBJT4xdtIhxg8mAl4ColMEJIN8PfmHNxb9aOdU2v/t0JeQ5hZCsiGkYQSQNrhR0BQ6+Crg608uIP4MxEdJaOlSDvctZnm8VDzoJlcSBUIOv8VuucE3A0fZA8XdRCKvgheCmvKRYGaywSNtkDQqBFQqj61ibAGno3urttJWbqyp2sVCp4sUhymq0UsjIEkYS6Zi0s2IlifTQfp1o9Bz03HAFR+/3fl2JedxDrdWW9TLr4CqPaCEkm1gOmJhzPizAyijguh7m33NyYzjgFXR0nMEcpuBi5uqIvEext4/q0mJ6o2MMngxoeDVu/ZmfYs/xG7ZcjjGWkxMlFmoR3VmPY8PFdHSyw1pNJm058EaNhKi+eSaS0TZV2Nn0fOlnnU1HI1diolbszeAFCq0NSbiKe9JU/hhj2wZxLV6M0+ST6MRQL8VrDOTWGHtegcT4W+lMfTvrUaDyba71UlnV2YmNIuLZWWy9jggCvL170x2qUkHPzaUgQWumf++NlD7+iTVZPFeSMpy96SZ6XvISFv/+vSSzs2nb0PPIXH898fg48cTEWhO3IEhBSLWKt2tX+ppNujcqn8f29pLMz2PjOJVAS4m3dy+9v/orxKNjLL3vfcSXLqUmdKQcFKevj3hqKiXcthRHSq153xYZODx9/4bORv3EyQ0cna+O7OMvb3wCF7t6iYXESWL2PO52fvqLn+Yx93xtpWsjZdMFSrT/mUYDvbyMUCpNoJ6auqx/S7l8kmrtHL7fS+gtkEQhQjjNO3eZnpykQagQx/eQymCbFuVbuazC9oTJRqWMkIqwVuVDv/9a3PwEQ0+aQrkGpyFxajFxIDif3U/ZLdIrKlwdP4hcHoOO3eAXkMIjSua5dPou9vU+md+9+Xf5s5N/xsdK93BTsEivq8kKS9ZAvh4SBoLIThO4namvSVSinC3xzdwCyqYZKNIKPC0JLUSOxrGpaZ3RDeJ4ESk9ugaeQXmoRuHSgwhnOO2caYmwadqu0prE84iSmfS7arMTJfX62JpttNkFWQrJwPIsN91zJ1+69lZmu/tR1RLCgklSWbTBUsv79C9Mc+4jH+biK36Vvccf8+05wL9H6koTxa+k1tvgCyFwXUWuR1BdDnESy1A9Zlo0RwHX9aC+Ok3cBDWtcMB4ssriBx6g6/lrjeXWJyC7w3nGzyzy9X+9CJNVDluL09BoR5Dr7EcYja2nfJtdL3g8wdVbjx2+cHaO//eZB3lwpkKsLa4UXJfP8LyjQzz2UM+OOgKbkUlrpSgN+JR25RSqUuk/pD+FhJ6RHLf+yMENo5ErNVEL8i6ur/ClQzkOm6ewNMvHsgJSRNNIJt/lE+RcwnpMeW5lJC9V+rr1sunvhsT4W6lHgcq3sbZT6Tg9PcQXL6ZdiyZISSYnV5KPpUwJoydPMvma1zD4mtegih3YOKHnJS9h+V8/nt79b2Hzvplaxx0YoPMFL6DrJ36c2l13MfHqV2NK5bb6BSkxpRIyl6Pvv/wq8+9815bdGxvHeAcPIh0nHfkYQzwzw8K7/ozeO17Gvvf+PRd/6kUpsOjtRWYy2EYjBQ2el3ZvXBdnaAiVTVvxwnHaZODNSK3rOTpfHdnHH3zfD1BzfYqNGh2JJgLODe3mj37gR/mNfJ4bz55e4cFoTTwxkR6olUp7u+nlZZKpqR35t8TxItbGSOU129EzGJ2kxmpWYo1AKIuTjZBKU2+MIqWH6/ZiTHWDy+rq2oowme/uRotxtDuPF0T/H3v/HSfZVd754+9zzg0VO3fP9OQkaYKiASUkJGODSAYcsJdknMBg1oADDuz+sGG/xuuI13iNjc0ajAHbgME2wSILhJIlkJBGmhlNjj2dK9cN55zfH/dWdVV3dU/PSAKB9Xm9eDHqrrp161bXPc95nk+gdnWBvZnLyNTrbNZHOert4t8KL+G0XE+Mg+PFbHTO8OPhJ7iieojQKGrlaaxt8s3b/xkb/xuFvvX89p7rqZ+5hzkNhUKB9a6LF8YcHC6jCVDOGowQKE9ipYOWAisS289c5GAEBI5GWPACS+i7xLaGjQzWaowJOXHqg5xcp8nnJJvPnGYoGqJoPfKBpOpHGEcQuAarmwihAIm1MUJYjp94P7nc1i5S7eIFuXl4P6e+/fcUh336Z/+Tjw88j1q+H79ZwzWGSCqafhYvCLjmW1+jMTvDp//sD3nRm3+DzZd/fxUr55Mofj7oZYMP3aZtXqC55QVbGbtyjJkP7k2KlL6OzqBUyD6JKYdUbjuBv60fIcWSBGShJDrvcP/ZBtOhIZN3OQKsC2OykSWcDfDzLplNA+fsztxxcJq3ffJBqkHMYM5jvAlbpzW5Uw0e2n+E47mTrN1QOCfHoptMGiCEIAp0WiQkxYFUMhn1SIBkY3LlD2/k2pds71kIna9yqlUsTR6rgLVIJdtcsAXzuPQ80hGStZZGOWpzUkSLwyRTLxWdyKZdX31XJMaPBU8VKo8jVlLptHb3NorQ9Tp6enpJ8rE1JuF2zM1z6ld+FZnLLTJ4ex3ehg09beh78TjiyUlmP/B3+Fu3kL/2Wta9853tYsZUq+A4uOvWUXzOD6P6+hn+hZ9n4h29Q/qQEjMzjY41zuDgki7E8M/+LPHUFE7qmQJg0iBDoVQSzGsMh9aupzwwyECjzkVnTy9LarXGEM/OYo1BVyqIvj4+9LTrqLs+o7VywkuxFt8Y1nqKCZvh7y97OlcdOoDK+dgwxNRqOOPjjPzcz+KuT66bNYZTb35z+zMywIHRtcxncww06uwIwi5FkOsOIoSLMSFeNkvfyBi1+TniMEQ4yQIL6ZxaKKw1aN1A6xN43kiXy2ovLCZMxs4hHt3/fxDeLPvcPfy7ehkTah2xdVCepqhLlNQAFknBVnBERIzLEbGRv/Rfz+sa72Pz1EGcXHKDHb3yJAiD1QfYO/l1dgSGG/JrIRYQw4FmzMyaOnFNYPU8yCqO5+IWmlgpECYxsjMiITLKCELH4BjFJRt+i7lck5On/gFjItxWN8aEVPtj9mWa7DxWZqhs2DwheWSzS+AbLBYhnHQ6pxFC4fvr0Lrak3zcWpBnZ+/gQPRuxDP3I5TlevsQheAUn4pfxFR2DYFUSK0ZmZ3gum/fwZaJ41ilaNaq3PpX/4fn/dKvrOhvY62hUtlLFM3huoMUi3tW/Oy+X9HLBr8TTsbBxIaBPp94otazqIHUhiDnEE82kg5KU3eNk9qdl4kaF2lwCi5lV1EGyq4kpw26GpHLOvzQa/Ygl1EdQTLuee9th6gGMWv7MgzXLHsmYpSGSAlqxmKjGOdUdVVZNRt2DrHnWeu473PHCBuJ62tLhJTr98gWPeLIYLVFiESdsxLf43yVU61i6UsffIQglUa3bPtN2sWRijaZXUpBHJmkAJGi7cuitUWJpGCRqWw6DjVBQ3/HJcaPBU8VKo8jVlLpdEp6baOxNPm49S2IooT3YQyyWMRJR0fBgQNEp04y/o53dHUfzscBt5Vr03hoL+V//Vdqd9xBdPo0sx/8e+Y+8lG8rVsZ/KmfWsIZ8S66CFMur9iFmPunf17y3jvf8zcv3s1Hnv0CTq7bQOy4OEazaWaSV37tC2xcJNHu7A6ZSgUzP8+BXB/H+ofoa9aTjYUl6dJkfJzBIYaqNU6s3cD+/kEuPn5kSdfJWMuD1QanvvkAenQtu6Jm1xgplio5p9lpXvGlzzKeFk/F4h7yuW1Ua/uQcg1eNouXydCoVonNGZAgZSbpOtnOUQZoXUus7M+BFmFydvYO9j70HmR2hof0FXzQ+VmaIkORMg4RofU46W7CIBmLz+KKCCEtnggZsLPMM8zHvZfyVvV7SNdgtcJoB2skghh3IOB4UTA6HzDczHB8VvGfFcvIdgtaIoXBCtC6gdQBUqXp2CZK3ofWxFZi8agWs7DuSuaOvBtrInx/4e9CqQwyt5FQneXY5esYHH4DQ/lRNuu9PHrwXVirAZ220jN43iiOk0drZwmptlU8zM5+g5OnPoTWEUL4xPUY5Uouz9zLruA+7r3/aqZLg2QbNdZMn8H1EsM3IZJOZdhsrOhLMzt7B8eO/TW1+mGsjRDCbXu8LOeF8/2K5Wzw29CmnZZ8rqIGJbEmRlcjqt841TVOgmQa3DDgC1gfasqObI9q644izsH8TMD0qeqKXIm9p8scmqwymPMQwLZpjdIQOIAQjEnwsPRnFKVmzDf/4yijeRfb6E38Pblvlr1fO42QkOvzqJXDNu2tUY1wPNW2yY9DjXLkit2JXryXrkvao8OxYecQz/7pXdz6Nw8RNmKsTWQDKi1AIJEfu77C8VT6mPTJAjJFl0Y5RGvb5uhYa6lXIrIF9zsuMX4seKpQeRyxkkpHZDLJ74IgDaay3QqcVNJryuV20SKUSsibK9jKn48DbvbSPdTvuYezf/THBPv2JV2elOSqikWC/fuJTp1sj51anBGs4eSb3rzia8RTU8n76HjvLRnzvZu386cvew31TIb+MMALmoRKcWh4jD956StYP76RG9PjLe4OuePjRKdPM++4RAj6wigxK0vVRc7IaPKlLOQoex7Or7+VdbVSV9eplRdzsN4ktFnkK36BgUad2UIfWkj6mnU8rRfO6SX/jbF8Pz8ECCHZvPkX2bf/fxKGZ7E6Q6NUw1LHyYVYLdCBQPkJKVSk3h7WWrRu8Mi+32T3rj8652LXIu1qXSOse3y270doigyDZratZlnwkbaU1AAZ3QQDQloEkKfCGbWOY2Yr2/RR4kaOVr/YGompS1TO8Gh/hcGGzz3HPAIfsALpWKxOZuDCkclNWWtwXJAucWaQSrlJHGvA4lDnto+/i/4dx/Ayvf8uHHeAmp6msmacvr7LyM5UcNw+lCqQtMsVSi0YAS4mHy8UD4cIw2ms1SiVJVvooxpW0ZFBxC6O3+SKzd/k8Gc2AgLlLtzsE76QxM8XlvWl6ZR5O51doXN44Xy/4nzTkldT1Jh61LPzYlJVipaQM4a8sdTUwu9Xy6WYrYdE2uIpSV/Tkg8tkYK1SnKZEvSJNOoi1MQKzESNqQ/uRcIS4m8nn6QwmEEIQRho4tCkTg3pCMWT5I1F1yNyY9kVQ/8u1ERt464hbnntHr78wX00GxHWpOqijs6Kl0mue5IrlJyf6yuyBQ/lSOppGGRrZDQ4luXal27/jkuMHwv+6/U1n0C0VDq6VFpifQ2Jh4nwvMScLFXdWK2TToSUifomDJPiQcpu7w/R21Z+VV4rUYSem6N2112cfvvbCQ4cWFDEaA1BgJ6eTsi98yVm/vb9ZHbvonDjDWQv3YOeL537NazFGRtb8t7l6Bgf+eEXUfczjJTm8bVGGIPfbDJSrdDo6+cvTkxhrO3qDsm+vkTF4zi469czEIc4OiYk4UyIjI+7bh2ykJjFBSZRPoxftL193q0i5a37T/BwtUFOSdbkMmSs5dDIGmZyBXJhQEbHSCx+HDNcmqWWzfKnsSZO7wRDQ9ez85L/D8eup1GZAlVFugasIG74IEKs0QgUQiTOsK3/aV1PVEPn6Ky0SLtK9XNcbeWMXEvB1NKWc3JTM0JhEShriIRLiJfIIWOJrrpQhTDyKOl+dDNDe6idfEoJNyqQBH7Mca2ZrUtE2UOXPaRvaPeRrWybVhkbI3CozjeIY42QCuVKQFGdnaFZLxMvk9wqpYe1UbvwaI3RhFA4TqGrSAG6yMet4qFa3ZeO1JLCRusmsZ2hMFTA8XysFcRNh0x/QHakiXScrnGNNQbHc8lk8xgdL/GlaReIcQ3PX4NSGYSQKJXB89agdW1Vn9/3E87HBr9V1Jh6vOSe1ypqnLEsMu9ideKW3AmZ+o/oRNmLu+gYq+VSDOU8XCUItcHTICyMC8F1SjIokqydwFisseQtFG3C9ZBFD+HLNvG3eXC+t49Kn9fBzxcMWMvOasgltYhLJexqxMx8cC/Ng/PLXtMfuGUznq+olULiUK/K3h9g465hLv+hDWCS69GSQbfQqEQE9WjBMwrIFpPr5WUcBsZy9I1k8LIOY5uL/NivP+17qkiBpwqVxxUtlY7M54gnJzHNJtYYTLOZ8D4GB+l/yYuTP36tk75nlPyBqZT30bJ/l56XeKB0Hj8tOhr330/167fTeGgvsr+/3cXphU7PkOn3/Q2mVO62mG+pYgBSXkewb19XMdTZKVruNaTnMfCyly157wfWbeDE2nX0NapJ+zG19BcZH2/dOgZzGQ7WmzxYbdB8+BGCffsw9TrRyZNEp04RnjiBnp5mV9Bg89wMlUIRtWYMb/OWdpGyXI7L4ryYrJJIKXAGBkkWZMNsLo/VBhPH6LCJRhNR5tvlOV7xxbdz95m7ARgcuJZTt+3i1NcvpvTwVZQP7EGHPkIKpGNSr4POBTtZ9B2nrz3OWAkt0q7nF2h4gwlJljj1HUkOp9AIFnq7RiU5PKbpYCNBbDyU0fSJMkYvuuEJiUVitQBhqWPQFhwpqD48hI0EKmcQymJNUqwIlbxWVHcS/pRyEmKeF6HrBWS0HquhXpnpnHgtXP9FqqfWGC2O53suanE8Tz63jUJhV1fx0OKzJEWgkxB3RZmBNeMMrB0n1z+EdARutlVMWKw1CelZSPIDg8Rxty9NC60C0XGX6Qp1eLz8V8Jy+TfueL5LxbPaokbl3YXOSwccLy18bfJnHvXoNAyuzZ2TS7FnXR/bxwrM1SMCmRQqlzoSV0DDWFrfTDchtyXnHiWdSuEqZJ+HDTSV207QrIQ9fVQKQxkcTzIs4XJfUrBgXYE/5OPkna5ipxdaJmoj6/NEgaZeDomChCty8yuW58xYYznx8CxuRjEwlqVvNMvgmhz9Y1kcX2KMpToXEAWa4fV5cv0eUWC6iqGgockUXK596fYVuT5PVjw1+nmckb/2Wsbf8Y4FBU6HSqdwwzOZ+6d/QjgOamQkIZGmxUI8O4vs72+PY2Tf0nmsLpUw5TLTf/VXAG2SrRoaIj57dkWvFWshPHIEmcsl4yXoNkZrDWBT8mo8O9P+1Wr9XAZ/6ifxt27peu9zw2vQfob84AAqzd0RjpOMhwT41lKKLbNhTO3OOxLL/vS9tc7JBAHizGledfdt/NFzX8pkscigMe0E1/lI98xx6ZUXA2CyGag3UXFMqBQNBJkoBgm1vIP1BQiHw7UZ3nnnO3n7dW9nS2OY2dOncbPjhLM+YMmtO4nTN0+ySsuUp2LT66JRKoNSRaJouqeXSifapF0bMloQOFFMhMLDIJCpj0SIKyJC4QEWqQ267mBjgRWSerbAmvJpNmaOIoTL4n2IReK4McoacnGMEkkOiDjtUrp7lMKVTVShiZQGGyfMPen4xGGMkA5CaaQbYWOH6pGLiKuDxPUCbrFCGDTxOsadbV+VDtXT4jGa4yyMWeJ4HqUKbNr8Or596jPMVh5BqVwqyVSQ2voln6PCmBBjm7h+FulYVDNCiCJG68TpWUgcL1FquZks1dkZRjdtYWzLtq5r0lZ1yd7dwpW8cL7TsMZ0udReaBLyarFaG/zVZPtYY5cdJ+WLLsFsQMVAKTao1AtkObv2XvJmKQVvuGk7b/vkgxxohDxHSIrp/aFlnuwI0crpxGKRxkJkwFNdxF+vGffkk3gZB89XXFIJcK1FFByyvoNQAhyJyChMNaJ06xG8LVf0LAguxESts8OzmN/iZRyatYg40Fz30u1cfPXattT7yeAo+3jhqULlCUCLtNqZTePvvIQTr/vFLtKrKhSIp6YSH5U4xszMtEdC8dQUplxOUn/zeeJKJUlHFgJ8H6evr02yFSoZFS1W68Tz80jXJX/dtTS//W1M2vlY1gca2jk5em6+/aPFfi6yry8xbGs51fb1tf1ccldfzWguT/Pb3wbg4j2XkWkoIiVxlFwSCtoa2Qw6ksoXvpj8sGUMBwlXJy1wrrj3Ln49jvn4z7+RI9qc0+iqV14MgGw0051dssBHrsLRif11vqZp+j6xbxj1PGrVGu9/8P381tjriOMIR3sE9SQwrXJkBwN77gcnphWekxBFkzGF5422iZm9vFQ60UnavTiTYYOZ5ZgZw7OzSZEpfYxxyVtLoJIbrm5kEDYmdhV1L0smjrjxkQcIt3nkhgN0kAYUWpuMppTE7/PJBxk2xTUGvQKT9Qy+5xJV1hF+axCnr4R0A6rTDYbWjzB65TShsx+hNBhJXClSPXoR4dwIALWjF9G38wHieAqlR5cUHotVT60xWou4GsclklyindSLN/Hb934QGnt5YW6Oii3jN+cZyY4gpY8xTYRwSJYdg7VxuyDq69/JD7/qTXz+r99D2Gzg5wtksnniOKI6O4OXzXH1S1+2ZGHvVHUptdT9eSUvnO8kjj/0QFvGrnWMUg5D69Zz9UtXl9R9oVitDf65ippW52Xuk49iyiEy5yRjIG2QocEvehxzJdFsgNeIyUnB6FiGXS/c2rW49pI3t/gl1+8Y4V0/ehl//9kDuFPNRJJrk0VOiuR/yV8OtDS81tiFe1JK/B0oeMvySXLakLOW0IKtxTSrSaxERoBKm9PRySpTf/1t+m/Z0lNOfb4maudSDPlZBx0ZskUPIcWTylH28cJThcoTBCFllzqnl3mZzOfx8nni2Vniyclk5DMygimVIB0ZhadOoYrFhe6LlOjJSez8PM7oKM7YGPHkJM6aNci+vrbXijWJSsNEETN/87eJvLhex3YGAHaEfrWRBvupgYGuH7c6RRN/+EeEBw4shP6lHBJY6uUiXJfRrVvZ+ppfYr/xyQgBQdDuquD7zEea3YUsFx0/yqnJycTOPwwTS/7Oc5MSGwRcUyvxsusu5aF6cE6jq155MVhwZqbw8n00XS8ZpViNlQINSG2x2idnZijas3h+P0fKR9hfu5+wXiOotmLSBdUZl6i6g7Hr9iHduH0tE37DKErlCcOzK3qptP9eOrsNwXF+hI/zt/JnmbajRDjEOOAkviNSa/prZULHpSE8lI4Znz3Jsx/6CmtPnSR0tpMfPozKNNFBovpxMgo/L/EyA2y+8p2czE/QPPkZgto0zaZFBCWcSp1MpYiOFF52jA1bn8f+W79OuVzDyWh00yWqFMkP5PDSCVv9bD9h/SIuusUl1hNdhcemTa8jmh/j6PH7ujoAQ0PXMzh4bZcU+OFqlXfd9b8o2nl2ZBJ+jwc04yanq2cYzw2ACVMn25aCQROGZ9sF0dDQ03jeL/1Ke0GvleaQymF005ZlF/TFqq7F3cLFXaHvBhZSu+tkikWyjkscR0wdP8oX/ub/8pzXvvEJLVZWi85Qv+h0leDgfFfBcq7Oy4i1zNx6FDPbRFhQkcG54zRNV5HZMbDELbeXsdz1O0ZY92y469jDSXGUFietT1WQjPRSI9nuxTsl/qpUEdMrlC+qhAiVFDsCkNaSTaapCc9GCBQQT9V7mt1dCC5EMfRkcZR9vPBUofIdgDWGxv33Y2q1dmpwJ9pKH6VQ+Twqn19wrI1j9Oxs8kClkpFIOg6JTp/GXbcO1d+Pnp1l/Hd/B4SkdscdzH7g79DV6kL3JKGDY+fnF8Y8sLS7ImUiix4eXnKezYcfJjp0aCE3KO12RCdOcPo3fzM5lNYJb8b3sUFA+PDD/MQ//C1/+rLXcLqsKVQqeHFE6LhUi0WKuSy/vHkz9qEHII5xRkeTxOc4Tiz5W+eaFkbZyy6jccedXLxCNk8LvfJibLMJQciQqHJ6YAhhQBqLEYLYcakW8+SbTXbOfRUzBJ7ycE9WOfTIbcns3VqkchLDu2aDqX2WeG4Na3/4LNI15DKDOJkRrI3ai+imTa9j8si5W/ZDQ9ezft3LOXzkz9htv8UPsZ6P89+IhJPebA2eELjpdXnmN7/EWH2avqjB2MwZwgg8qbnOTJHf/HoeLX+ZIDwOQqOcDPncdjZv/kWqp/N84V9uJWyEFIaGaVar6CgkCgLiMGJsy1Z2Xv8sHvjif9CsVYmaRRpxnGxJbUR5aoq+0VHcTJZmtcLo0KVcfc3vUq090i485o7FfOW9n1i2AyCEbEuQjTV8+u6f5CW5o4w5BoXFE5qMsFTwqBvNTFBjfW4dQTCFMQ2EUBijKeR3dkmIewX5rTQiWc046lxeOE8kktTujxE26hSGhtuFlOv5OEMe1dmZFWXX32ms1PHI7BhYtvMSHC4x96mDiEDjFtx2t6VVhAy8dAfVr51cIm/uZSyXK3rkXJF2UkSL4gUsiOesSNQ+uMk1W6xm2iDFklA+IZMF0wpQQhBrS1Z2dmlI7s1CID3Z5ry0zO4uFIsVQzoymDRRWblyWcXQ9xOeKlSeYLS6DMGBA5hqFVOvo1N7eZnPYzo8VSDxHpHZbPt30alTiQV9KysHusYh8dQU7qZNiXHafIn8M6/n1K/9Gnp20Uy906+l13+TSqg9j8zOnWR27+p6evWOO5j68/ckhNoO/ogNQ2wcJwZyQiBHRtCLAgivuOPrvHlmlo8+76WcWDNOVeVxtGbrqeO8+j+/zlWZn0amhN2We62enk6O0bLBTxOcy7feSvnWW5fN5umEFII3bhrlLfuOc7wR0ucqCnFMUynqjstQqcRgeZ5SsY+6Uiir2TR5kp/84r9z5BkVDg0VCeOA3Qc8bBDRNzpKZXo6IWmmycFGCGbP9sGXBJsuPUs8MoMhRPp5CvmdZO1z+Mp7P7eqlr21htnZ21GqgOv1sze6lowJGKOEFhJpI7JCks1t4nTkcGj7Lp7xHx8Ca9FCMFowXL05YpMzC9+8laFXfpxKR/FQLO4BC1/+y7d3LXzZYh9xGKBjTVCr4GVzHHngmzQqJYxOSKmJj0pyntoaKrMzeJlse6QildMuPI4/9ABf/Nv3rroDcP+xf+QKHsR3LIF1aSKIERRERJ8METjUdZPQaByVRbh9bFj/KoaGntnTlK1XkN9KWGkc9d32UZk8epjZ06fIFIs9yb6ZQnFZ2fVjhTX2vMYH5+x4vHQHZU/RqIQLqcG+YqSHZT/QVYSUP38UU45WZSw3sr7ADk9hUjfZhN2UvieS7ocQIHIJGd3GGlOPu9RMsJRP0qiE3PWpQzRkMgJKmGkdRQrJa2lradQ1/UN++5zOJ0V6MVqKoS9+4GFmT9dSe4vkxZLv7/KeKOf7GT5Z8VSh8gSi0xNE9vcno5cgwDSb7W6ITQmsADKTaXuQiNboo+V10uosdHxJhVKYMESXy+0U5bl//MfEqj85yMLJLFb4tI6tVNtHxVqLKhS68oMg2dVN/dn/aRcp7d+JxC+EaMHjwJw9m/zDcdoBhYQhP/Dwt3na7BRHdu5uu8BeNHkGk3rDbHzfX7cJu87YGDKfxzabiXw7CIjPnk3Os4OD0yubpxO3z1X4v8enCA3UjaXajJBWkM/m2X7qOK/40me48tB+HhlfRzlXoL9WZU3pJMpa9t68GWMttfkB5ooj5Efy9Dcq9I0IKhNnkjVbpARPa1l7b5O1X4Bog8T0NRh+6Y9hr3zheS3YLQWK6w5whK2ctmvoFw18kQb/YTE2wkYlhuISleFRLrlmiK2lU2Rdy1jRJKcUDcL0o4izD9K37qqua3L2yMElC58QAtfP4PqgHIeZk8fRcUzUDBLSoVRYIVNVU+IBFIchIxs3c+PLX9P1Hs63A2CtoTTxT3gYatZHpE36wLoYBEURkpcaaUDrOv3FXU9I8dBrHNVZBH23XGsb5RJax2Sd3vJcx3UJatUlsuvHipVSfnsRMnvlAwHtYiOebXL4Q49wV0MT1OOEGyIFXtZh05oMu2ox0pcQGWwHL6RVhOiZALCI3MKSldx7FuS6RicFR3SmRp+EhoDYJkqfDguiJHNKAKFFh82k67M2R9/Nm5aMaTpHKMf3zmAMnHAF26PEpK5VBLXGSxYIUzJwbCzSGEy9d5jheaO9pxTdzgOt5viioiSox3zr88lnGIcaIQR9Ixmuecl2Nu763iLVPlWoPEHo6Rg7OtrO97FaE6WS5Rb3RI2MdM/IUwt6hGgvzl3cjbTYMJUKmUsvxd95Cafe+tbeJ9Q57pGSwnOfS3TsWDu8ULgu/jIdiubDjxCdPJmcR2d7uRU02Atatx/b/n7Nz3HJ5Jmu8xepN0ywb//SAMZ0fBTPzIAQiW9Kq5BbwQQPaPunVGPDoKtY6zmUtWauVMGNY17+xU/ztMMHANh9+iSRDpHp4Pno1hwPrNvGMfc6zLq1HFnj4AKjtRI37r2LjSdPYIUCazgztIZqvsBg5LNxroJ3Inm31X3/yLduOszR4iB2w3YKUci6ysyKLftOBUpZ54hRuHRInltdLBPhm5CSW4S+HFucRT4mjg/NeajPsBirWfjiKCJqJsFmsuWebE0yhG8hLVYW43w7AJXKXojO0rASK2y7UAGIrEPJSnwRc2ezn5fv/B9cseFHnrACoXMc1Ynvpmtttq8fpRziOML1lo6N46i37Pqx4HxSfltYLh8IIA40tabGtZZMM8YDMq4kMAY31KybamCkgACMFAhHIosu0k+XJyXT2AXRNpYzQYypRNjYdM11GvtnCY+UINBkSYoSAwQ2Hfe4gmzWgXrMQolB19/dcmhxRaY11JqGXb6kXy0UQRoIDFgHMGDDBQffx4KWAZ0xlsHxHDq2iXW/EihHUC9H3PEvh/BzivmzDYy2GGOJA50kvVuLTq9Toxbx2b/8Nle/eCtXPWfzYzqv7ySeKlSeIPRyjFWFArTGGkGQdAyCAFksgrXITqIrJJ0Ua5Mk4rGxpMjp5G6kXigyl2Pkda8l2Lc/WdSXQ6tYsZb805/O4J/+SZcyaTnOh56bWxjBdHR1bBz3VhC1FtQWaTaFjSJss4no8IcRntfO+ynceMMSaXdyOIFauza5fl0vs9R5F5b6p7Suf38Qk5mZYrqvn398zou46i//CCUlUkhc6WJ00hn65DN3cyj3IoTMMSJd9MwcWjmczvXzyStv5rmleUBw95U3MDswilaKL4Qhm8+c5hWf/zd+YP9ebt99KR+45nnMjIxjlEIZw2itxLOPPshFsxM9W/adCpQ+UcdBE6HwSYtBm9xYhXQJpIdrYoZ0den1jwOQLuSW8oxWtfDJpDARaZFirUFHcddnC1CeOrvQGdp9GUw8QGP/feiwQbbQu9W9uAMQRXM4IiEgR3GAXPT3pxEYa/AzG7l8hSKlFZHweCcJf7dda8e2bGNo3Xqmjh/FGfK6NzLWJhyhHrLrC8X5pvy2sJKVfq0cElvIApdnFL5olQUSR6R1RuqjIkk8WPScgUGSYkUn0Q4mqzCVCJmzmPkg3eCJ1rwlea07T0PLhj8tIqS2KCkQRRflSvRcAMYiMw4ikxw/PF1l9p/30/fsjeSvHu85HmkHBR6vUNOGbzThmVlJXiaFkE5T09NAY0RkcDYUcNct71i7GnTKk6WULFbSK0cwfbKKl1GJMZ0SlKYaxFGqb5IgpUyXDEscGe7+tyOMbCiwcdfSe8STEU8VKk8QlnOMVYVCwj+p19Gzs4y8/vV427b2DgMslxGeh/A8ZD6/lLuR5gGNv+v3yF97LdWv39573NP53wBKkbn88iXKpOWgBgcR2SwiCBIDOaUSVVFn8bIYrWKl83dCJF2iDrQN6dK8n8XS7vDYMab/6q9Q/b13jJ2FTgvL+afYOEZYS1/Q5MT4Rg5tvYiLjjyaFINCIHN59m3azL6nvx7fy7Mlk9hnz86XsWGTfNiklu/jq9feQi2bJ3J9/GaDQr1GxlgOr9/En77i5/mRr32JT938HCrZHPkoxIksWirOFAf5xK7r+PFH7mTH9OklLftOBcpW9wzr5TRH9Ro8yul1jBHCRzj9zHkhFzcPs9kexuIu7AithcYcrNkDa5cqQVaz8BWHRwlTwz6kwsTp7nPRwp/t6yds1Lnno+9jw8UniScPoCoSGWwgnqni9q8Bv7tgWdwBaBVnw77HGT1DZCKUVIl3DAZhYqyUPG/7TyCXKVI6IxIim0jWd+QyPSXr54PFrrVdWUZyDWF4tmeI4uMJISVXv/RlfOFv/i/V2RkyhWK769WsVnrKrnv5jKyWl3C+Kb8tLJcPFIcaHRk8AY6FrBAEaVFSkNB+ZOulWrcHYTGVCK0NUSmkbOBIJWa3hEwjRgrS+Q1phZMWLHF6v3EExCb5uSMR2kIjRjdIihpPInMuNtDoSsuoDub//TD1h6aXHQO11EBRU6O1YV8Il/kSF7CINKYYsgpUzunivFwoVpInx6GmUQ6x1uLnHBxPEYU6iSZIYW1SrEArPBVMbLj7Xw+z4ZKh7wnOynefJv59CjWQ3Ij1/Hximd8BIZIcH5nPk73ySgrXX8/4O96Bf/HFmHo98VCp18lccgmjb/pl1EA/8eQkwnFwNm5MpMi5HM7YGOvf/acUrk92dGpwMHGz7SyOWrlCHQWDu2nTqgqUFlqGby2PFRuGCyOflTxZWmqdDm5MKxbAAI+MrOHO0XEOPe1qvF07F65PWkAVbryB7JVXrs55tyPYcDn/FJH6s7hRTOwoatu3423ciLt+PQ8+8yZ+87//Jv/zZ9/EUSdPQ8ORZki1o7ASgNQxZ0fWUc33E7k+1WI/c4PDaKUYmZ+l5mf58PNeQsPPUKiWMMYQOi4W6GvWaTouX95yGWGPln1LgaJUnjia4EfVl8nQZFrnaRpLrC3VuuB4dRJH1vlh71M8tHaS+8cnmc00IGpA5UxSHNzwK11ZUp3X9uqXvgwvm6M6O0MUBFhjiIKg7TdyxXOej5/LI4REx9FCsWkXPm8hFcpxyPiSmeOHOLxvPydrkopwyToRjUaEnj0OQaX92q1CaGjd+nYHoFWcuQSM59eScTIYa4hNjLGaoiMZLO7iuq0/1fPzXxyRMOY55JTk4WqDNz1ynPccO8sDlTpmpb/TZfDdcq21xnD28EGO3n8fZw8fZOPuy3jOa9/I6KYtRM0mtfk5omaT0U1blvCcmgfnmf67h5j50CPM/vN+Zj70CNN/99CybqmLsZqUX6Ptkuyd5az0W1k+iUUiNNIiJRHaL37jHWNiCzbUhHMhoYZTriLo8znlJPEOxpIUHBaEK1FFL3mySn4uc6kXk0nvfSLhsxAZkOD0+dhAE881sVGroEnaO9Gp5R1mW+6yw+sLCCEIYsOxwNCw4CqBn3Ji3LX5x0WaDN3y5BbCZsz8ZJ35yQY6Tq5DvRwSNmOsXrRBtMnkto2UUFOabjJ1osL3Ap7qqDwBqN11F1N//T50uZwQTZVCdih9Ot1cW+qaXiZxrVFMZvfuJf4kmUsvXcInyezehb9tG816PSE+LupeAOC6rP2f/+O8pIxCSgo3PJP6Pfcs/5j+/sQjpdnsVhL5PrJYRE9PJx0V4D/XbeJDP3AdxwaGaXoejuez6Y4H+e1dW7lppLtzslpX3E6VUk//FFq8Fo8wNjjGMNCoI7NZ7l2/hT/8wedTUy5euimSQNMYTjZCilLhK4emcqjmigm3xiSZRQJB7HhMDI2ydnaKTBgwOTRCf7XE/MAwkZMopATgaE02CpjK93PUzXHF0PCSln2nAmVn6T5eE0zyafVizoj1xMbD8QM22KO8oP5ZLstNoaxP1Q/YNzrDzsBlqG9PUqRsuym5Rj3cTDddegXPee0b234jQa3a5TeycfdlPHr3HUwcPpiogcyCNX3r78H1PRzXJy6dQGvLqaif8WyMK2DHaIMHTntUQ4k/N4E/mhiv9eoAdMqD0VU25NcQGIPWTYSp4KosWze8rOff3HIjPm0tda1pRJY/PHKGvzs5xUX53qaAK+G74Vq7krHbj7/tnSvKrherbpAKAk14osLsx/Yz+BMXk71ocIVXvzDPDmBZQzdhLZn0K9jsWCxb5NNO2PS71yaH2qSwOZFzqboKAUSeQmtDaMBRgsJQBuEpbDNOnpd2NISSqEF/gcfSEWUlix54Ej3TTIub5PvZWtxFVq0oLd6wc4gXv0xw5lMH0bNNRHr4AKgWXTbcvJH116973DoVi+XJUaCpzjbbCcotxKGhOtskW/To1jqx8ObTf4q04z1xuPQ9oQh6qlB5nNGp9HGGh4mnp7vM25zR0SQbJ59foq5ZbhSzUhHTiU4HWSAZEaVZQlgLnsfYm9/U7sCsFtYYyrd/g0cv2sl8JkdfaY6Ljh9BtroqUiLiGLVmDdHp0wtZQr6PMz6OKZdRIyPIQoH/HBrjj591C6VcgVgpIuVgBcyFhp/+1gF+xbf84lC+630uIdl6HjqM2JcvUr70Srb/9KvYKBbocEv8U0j8U2wcI/v6qAQR2yZOsePEMWLP4f9ddQ0Vx2WkWoa165hNnoErBKE1VPwcGaOp5YrYtIcqraVFFZZGY6Vktm+AvmoZIwTlfNIWl8bSsoeKlCKWWdw4Iuob4OqXvHhZP5WB/qv51z9/E0Nzx/l5/0scF9uQu4/Sn5lkQ+MM6Ji69RlcuwMZ1QmjGY5dvoXBZ3yszRM4l5vpSn4jrXFDs1pJit6UxG2tRab5OcQNdBiAUOS8hcnQaDHkivUlDk5mqUcQzU6ivOyyxmuL5cFC1xBxHQBtLEePvZepqc8vIa/2GvFVY8PJZojBticDSgoerjZ46/4T/NElG1ddrHynXWsfi7HbYtWNDTWmFLbJpjbQzH50H8Mv30lmhWLlQlN+obeVvpKSyEnUPFHH2rlkOWzJbZ3ESRltsRZOu5Kyu1AwRelmRwgIdZLh48DC6KclPpAC4SmEpzC1CFON0jYMmEqUKHF00knpOhcBUknIyWWlxc2D88x96iB+oJGjWWJjsaEhGxmGfcXg2vzjuuB3jpxqpSAZO8W2xwNBa0uzHqEcQRza7l+SfIYtD5awGXPvZ48mY+9zqLq+23iqUHkc0UvpIzyv27xteprs05++ov9HL6yWT9KZNRQcPpx0OKTE27CB0be8+byLFIAv37+XP7v+uRwfXUOsFI7WbJqZ5JVf/yJX3HtXUogFAUoInJGRpDgDpO9jU4t94pi4UuHDL3kl5VyeputhpUCZRN5rsIRK8e5GxOj//mOecfRgl1dKJ8n23qE1fOSm53J8zTpMoYCHx44HDrd3zFIIfnnzGG/df4Iz1QaF+VncRoNQKir5PLk44qcfvI+pqMFX1m3i0PAoXtig4TrI6jxuYYgAcLEoBFo51JVLJNXCPqXDh0YAwhhC1yVMOyhWCBydhAomG0mL1BqtFLHjctPzf2RFN9GpY0eZerSBm92IiXy2FI8w6N6LDRVWKKxUxGFIFIa4fh5HKWp6mkrtEfr6LjvnovdDv/BLlLZczGz/GEOj69hUyHYtSq2uy92f+hin9u1FxzFCKtw0P8fL5mhW5gi0opjR9Ge61V+jhZDhbBMadeauejFbnvEcsiNN4niecvnBJfLeljz48O3v4kTpwyBiZEUiTYDJasoDD7Kv2U1eXTLiszAZRpi0yLTWEpNkvKz1FRNBzHuOTXL9QGFVRNvvpGvtYzV261Td2FAnhNFOsqkF24iZ+/gBBl92ybIjie5FscOVNdK4jZg1nuSKp40t+z56GbrpIyWanzmCsqDT+Y5dfP1FSzuQLK6tKaORgrw2uNYSCUFNQF1K8joJ1TTaYtPwvYSjAnhiwcgt1EmRom3yM0Ey/olbcyaLbV1OYxGuSh5nwZp4ibS4lwzbBfDTIqDDeO7xLFZaI6e7PnWIs0eXGdekdYmODLl+r1uVJ2wSnJoWazq2CAleVuF6zjlVXd9tPFWoLANrzKoUMZ1YTunT8gQxjQY2ihh9y1vIXb5UBvl4YbUdmNXg9rkKbytFlMfG6Q+beE1NqBSHxtbxxy/+KX7Ddbn83ruwzSZ6djbh3Tz96fTf8lx0pcL8Jz+V+LoYw/4t2zk+uoZIqmQhj1s79aRD4cQxoePwtz/0Qq75t48gwpBg/35O/9ZvM/iKVzD6lrdwZ2T5s3JMTUgGMz6+SkY8i3fMNwwWeaeu8udHjnJscARd7Mcxhu3TZ3nFl/+DDTMn2bthlJnRMYzj4pmEaKuDkKyZJSoOECFRWIyAuuNipEAakzjZSoW0HfwVYzFKUveziFYLOe3yKDpuvBaU4zK+Y2VzrsUyYumFCGkwkds+tsW2ycmtMUQYzlIqfZtvfvXPEZkZCtlN7YKgteg96Ob40KMTVCruiuTTVtfl21/6D+78xD+io5Bs3wCu5xEFAfVag4y07BqZX8yzBSAjI7xszNxGwZny71GbWFneW7vrLiYO/CN2JMapecl5C4utxYiGJhqni7y6eMTXMIbAWFRLlUYiO1VpN2jAVe2k7iuKuXP+7X8nXWsfq7FbS3WDVJhS2C5SWseyLSuDZUYanQTcsYLLza+4mG9+/jhzE3Vy9YitEgqOwHcl6uunmN4/23abXXLdFuUDrV9X4NS3JlETNeo62Zz47ZcWC7YghnbXQwjQAjZEmkyk2xuEupTMOwLfJCoiUQ6ITVp0tBoIxmJqETgCU06LFAlOf6Jyi2eb7dfpfE2kQBYTErGNdU9p8Uoy7MXGc4/F5K0XNuwc4ukv1HzuvQ9iLEgpkG35cQd5Nh2xOb4kDpKE6Ba51nZeJ6Beisj1C7yMs6Kq67uNpwqVHuiVWXMuF1RYXukjhEhUM76fEGVLpWWO8PhhtR2YldDiANSEZLRSQkiZZHboGL9WZirfxz8889n8yanj2NI8I69/PdkrrySzexf1e+7h9NvfTnxmIjmY51Hu66fpekSOg+rgPdhWMm7KeTs9PMr+gWF2njmZFHdzc0y95z2Ij3yU//Pat1Bbt5HxfKZ9o8gqQUaKrh2zsJaL3//X/NGBA+zbeQmz2SxDzSaXzs4hrOF2F4JaldF8DodElePEEcJovGad/lhTKfQROC4ISeBnAIGRMskfFIJIOSijcZTC2KRVndExMgoJlUMsFcoahLVYIdBSIq0hg2Uu6sEf6sBiGbEJPayRCGmwRqU7T7FATjYh1hqOHPlzGvVTZLfOs36rQtfPUD2yECJ4cHicz+y8lqbjskbHDGb8noVeC1YIuPZmBofXceq2L6Ie3UtYryGVQ3H9NtaFd7MtN8WsHV6iMCuYCvsG1hKZfyaqNlaU91pjOPWJPyO6PkCG3aaCQjrYKEbMh9T8Q1Qqe+nru2zJiC+2Nv1rSrspNvnbyKY3XF+KdlL3avGdcq19rMZubdVNoJNxT0eRArQLF5ldupD2sr33x7I89wVbmJ+sE331BCI2OEVvibX9agijQgpGXrCNuU8+iluNsKFefgTUPt9kccoY0LIlXYa8NmQMTGtYJ0kDdmjLkdEWYpsUa+2LJ3AGMgg/4Z50czc6X3Phb6fTTr8TK8mwgXaw4eNm8rYIQS1ObbeScQ2kNg1O2l1K31ocGsa39bNh1yCHvznF7ESdqNmxsZLJMeJIU5ltUhzK4GWcZVVd3208VagsQifHRA0MrNoFFVIZb6pQEZmlM+1eCpUnM1ocgMGMj/Q9bKPZ9nARUtDXrHNscIR9+SKXrxlj8BUvT9xGWyOw0kKGkRCC/loVadOlpFX2t+4Z6eKf/F4yJxTR6dNJxyB1uD24YRNHcwUKU2exYgxRWPCdWbxjvvjYEaoH9zGnGmQP38O6dAE7qXzc3AhVz2NqYIwISbFZZzabp69RS+21BUZAnO6UVRwlzqxKAQIrUsdJKdFKJYWWEBSF4We//Fk+8oPPB9ukkskQOg5WSAQWP44o1GuowUGGvJW/eotlxHGlH13P4xQq6KbEGo3j+biej7WWMJzCmIBG4wTYLHEj8YxwChX6d32b0iOX05wb4ctbLiNwPIr1Ml4+hxSiZ6EnhVgk+3Vwr3k+G6+9hVc5ITcO9zOyaSt/+Nd/w66pdzNsZ6hQJMLFJaJoK1TIcHZbnhHOLe9tPvwIwdwJcAQiXLp8CaWwjRgTNdvk1c4R30QQJ8TpdLxgbJLHMuYt7HxbSd3nuvaLcS7X2gtFJ9G5XikjpbpgY7eW6iY8UeniTUL6FTOJOkZkHEw1bC+kK9ref+ogMqNQFuTgwsagV77OuXbfmR0DDL50BzMf3Zf8YDHXsxPp76SAkJY5d/KdDKzFM7BGgvI71D7aosvBwvMdiXAFtq4XOiaALgXdnvedsBDPNxN/lUV2+i0sJ8NeeIHHx+RtOWQKLkKKNs+k9TkLKZAiIUELIXjGC7dy+c0bEFJw5bM38S9/fB/zZ+s4vqJejlAqea5Muy31UojrK5QjCerxElXXdxtPFSod6OkmC+d0QW3hQhQq3w2s1hyrxQFwGw2M1liTKokEWCFxHUPZ8ykPDTPyM69sX5PWCEzmcpharb3TvujUccanJylt2poEd9mFKsUCRkpcHeNHAcWps1itk8IvlTmXCkW06+LWa8TTU3j5fNcNuXPHvPfQneh6iVoBpHDaRNCmbnLHmlH+/Zk/wuzACMb1sFISSsVccZBivYrUmkq+LzFq0xrHWGIFro6J0mLFCPCiiNjzEMAa3+UPfM2mB/6T2694GodGx9lQmiV0XGIpcYzBC0OmC0UudhWXFbKshF7+GZXD2+nf9SDSa0DkkuvvR5smcTSPMQFSePiZtelsWmK0xAY+yg8obH2Uw/FFTBeL5OMqUumEJNsiMS4q9Cqxbjv7DrgKXyYjlkOR5U9ElrWDa1jjKG665Sd498cDfqr5CbZymiJVIhwO2M38x9CNPKv/K7irkPfKuRKybMBKrLIIvZjD0CoQZRd59YbBIn90ycZ2QSVF0llpSZULTrKYWGvbSd3nuvY9P49lXGsvFMcfeoC7P/Uxpo8fQ8cRynHQWhMFDfrH1p63sVtLdTPzz/sg0Ikzapt7AQiSRb1jIT2X7b2eD9DzAWrIf1zGHDLrJK6zAz7WJD4pbU1yZ9EiRSuKmGKfS60eoyOTjDQEGAeyBlRuwb02nm4kv3SSERfaIHwXqwwYi66EKOElUuSVEFvUoE//LVt7dopaBWF0pobsW0o2Xq4T83ghW/Twcw5BPULrpFhpWVklxQv4OYfx7QvF4/SpKrVSSC4dfTUqUUeiikhcJ2JDHJnEgqGHquu7jacKlQ704pi0sJwLatdjOlQ3S8zbSqWeSp/vNM7HHGvIc3CikPrUJBaBzheRcUQmCMAYQsAFtv/0q8hfe037ea0RmCwU6HSzldby85/7F/7HL7yZ0HFxUgM2K2TC/7AWJ4rZPDXBjqOHFlxt0+cPBE0cY4g8DxmEqcvtQueqtWMedCUfn/oSz1MW37po0ZLCCh7espuP3vJK6n6OXLOGYyK0VMRelsj1qOT7sEDsOHhRSH+twmzfQMJNEeBqTZxybCKlEGmn5pahPkbHB/G2buEVX/4P/uTHXsF0vo++Zp1cGBIqxXS+QN4Y3rxr66rInItlxHOHFWF9O6OXT5EbjkFV0dolk9lAo3kiVamIhIviecRhgBAOJnJxCmXknoMY91n4ThWJJQhP0pzMkesbw8tm24XedBDxvpPTS2S/vTov1+8YgZ94JX/51atRZx+kYEpUZT96zWW89poZKH1pVfLe3OAw3nQOd6ZONBpia6LL1txagykY8u7GJeTVGwaLXD9Q4MFqg6/PVvh/p6YIdcJVMdYSmKRIKTiSX9489rg41j4WHH/oAT73F39KvVxKR3itahGwltLkBPmBoXMau/WCKnjE5Sg5ZIvv4UpUv59IcucDnIG0C3eqsjLfwpXoRrx85+M8xxymHieE1bwLYTqGaBOh7YLZW0t2ayzSwsBYjjg1MZNKILTBzAULatswHXcJEpO31tNrC10BG2lMo8d5CpKZUstzxUDuyrEVyca9ZNho0zPY8PHG6MYiIxsKTB6roLXBxLZdwClXoJRiZEOhS5XV6Y0j0sTlODQJl0uk18AkJnBRaJ6UScxPFSodWI5j0kIvF9TF6FTdtGzgheviX3zxeSt9VsKFkH078286d8nL8RMuzfn0TU9xcHAEK4BUtuvFMUPVCnXPY0dlnme88EVdr9MagSEl0vMwzWY7o+jp+/fys5/+OH/3wp8gdB2ETWyz3TjGiWL661VedddtSbcl7YKgNTKT4ZLSLJvnpjk4vIaRIEicZlvXo2PHrMKj3NM3xTPGMoyfCaj0J0ocg+Dfr38BoefTV5nHSolyHCIhMUKipcK6AieKENYyND+HTBU8Mh1VSUAZTayc9jEN8PdnZvj36Xl2vuaXeNmH38+vfvIj/O0tL+H0wDAW8MOA7dNnedMlW7hxePWz314y4tHNW6h2pCKH4QyP7PuthYJAQH5gkPL0JEbHSGWQbkgfkyiriYyLLyKEYxCqSnUupsA6tOfjCsFcrHs6+8LSzssVxRzX7xjh2m3D7D29m9l6yGDWYXPfScrlRzlasquS92Z278Lfuo3iV2rM/WiMyceIpkJogVUWk41Qxmfr7l/tOXKRQnBFMccVxRxX9uXaxXgpTorX3YXz91F5ImCN4Wsf/jtqpXR81Y4psEnX0lqsMYSNxhJ/m5VUYl0jnAEvIZG2FDTaoBsRdi7JDotnLbP/sA+ZdzBBjMot/WyABeVMZBLHtsU4zzFH59hEdIwtkmN1/FuJdrFiqiHSUzj+wpjF1BeNjU3KUl9cULWijdNa0Ooe3RQp2kWFFXYF0swCesmwhZS44/llCcZAzyRj4Jzpxoufd9VzN3PbR/YTBjFOQSFkQqCNI42XcZYkKS/2xsn1eW0fFtl670DQSLKdlkti/m7iqUKlA48Xx+TxVN30woWQfZczx+rcJf/5sbNcdfIYdn4eNTjINwLNtOMngWGWhAAroOm4nB4cYrhW5RVf/AzhFTu6OkydIzA1MoKemODA2vWU8kX6q2Ve9sXPsP34Ed7/4p/izOgarBT4UcTmidO88utf4GlnTxFDwk8xSeaMGhlBCcGr77uTP7j5eUz3DzCkFJkeO+Zy/dtEaL7x7DFe/InTFEsRjZzDoxu2cGZoLX3VCtJoQtehISTzuSIWgTIaKyTSaIzwmRwaYbg83ybDJjJqiFvjhEWLeCnWPChdDrz8FxiamWLWcTHWIIHRKOC/X7yF5zzz6vP+vIWUS5QenWOIcvnBJX4fXjZL38gYtflZhJ8QMNfXj7O2cIaTzkY8M48wFqRF+SHV+VmCwVF2F3IMuaqns28LvUipUgou29DfDvB78PjhVB1TJopK+P56XHehHb5Y3itE0o2Mfud34JNQ+cEG0XCEFQZi8KYzbN35FoaHn3nO69XZYXm8s38eK84ePsj0iWNAov5qISFEJk7AOo654b+9mnz/QE9jt8XoNcIRjlwwO9OJcgolkH0eMuuCNsTzQSLfbUSo/NLNmZAClMCGJgkufYxjjs6xiSi6iWdKpLs5I60dfgsGdCXE8bMLrxtqRNbBRsl5kd6fuk+epEviiESO3P5hxz87i5T0tVACb9O5NxK9ZNgrRRX0SqNOjNksjUq0bEL1cinWe561jhMPzzI3UUdHyc9H1hd6+qAs9sbxMg6FoQz1ckgcJtEByhGMbizwtOdtedJJk+GpQqULjyfH5PFQ3fTChZJ9l8u/geQm2R+F7D8xx1c++jdcfPwI1vX4Pz/zS+jBEdbNzzGbLyTE0DSFBQND9RpXHty3pMNkheDML7yOQ3//D5zK5Lntx6/gxPBo4sESazaePc0rvvxZ3vu+P+HQtovQL3wR43v2sHMsw9x/OoStDCGtEdkszshIO5DwaSeP8Guf/Cgffd5LODU8TDmMl+yY95oBHOmwf6vHp398Azd8eZLhqYBY5NDSwWKYHcyQzw5T0cn5CmPQMiEKh342yTlzHOYKRbwooun5GGPahNpOSBLb7MgmZL8ykrmRNWyWMKI1kVJMDgzwu44iP1d53Hf1y/l9eNks0hmk0ZxHRxKFxwvDz/FB9Rrm5QB5U8OxEbFyKLseQ9bwy5vHKDqqp7NvC8uRUhcH+LmpyicIJmg2j2PtOK7bv6y8t7MbmfnQYcKROqZP4g9uZP2Pv4XCdatX2LQ6LE82nDm4HxPHbbXWYggpMbEmbNTZc9MPreqYvSSz0ncSx9aWp4q2yAEPlUmLI6lQA5L4rMZUIkTW6QqEbBcia/LoRtRzzBEpwcntRSZOl9mzrq+9O18OnWMTW4kSB9io1fJIIUm6Iy2LWpuObYI4IZHWY2TGIX/NOLW7z2DKIcLtUcTJBYPCVvHT/8KtlL98HDMbLHiotF467eC4a/J461dXeC2WYS+HXmnUzXrEdGpfnx/wyfV56NgwebzCF//uYZ7+gi30j+WSzkmPFOvydJObXnExfs5dVTdmwyWDzE3UqZUCMjkX11MUBnzqlRDHkTz9BVvYc+P6J10npYWnCpUOPNk5Jo+F7Ltc/g2AqdYQZ84QFQqUB4dwGlUeGRzhWDFxWs1YyMchQQcx1FrLfDbHwY1b2NzRYWpzYChQ/amfo2oMwhiG5ufIBSGh5/Holm28+1Wv5Te+8lmu/OY9+F/+PJtekczfi9clCpDanXcw9+GPYKII4ThYY9qfwzPyNV60bYzDl27tuWPeNbSLrX1bOTB3gMM7xji6fStrTzeomxyNnEOpsAaESx2FVumItmOcINPOUawcIs9H6xgjZe/sHBJDMSHAIenupFSDJPVayURmae15G46tFiv5fUTxNCDQDRchFbv1Pl7T+CCf9V/AGTWOJo9DzHjtDG8eznLDYBFjbbez76KCvRcpdbkAP88bQgiXIDhNFE5jbbiivPeJ7kZ+13EOWW6yPPcYY6yA5SSzImFLtikwkqUbFFX00OUAMx8iiu4SvkX/87cCdI05QmM5bDUftSH3334Q907B9rECb7hpe8JZWgGLxyYoujsqFoSrkMWkoNLlECKDqcVIT3WNV7x1BSq3nSA6Xet+EZm8X9syLpIC4UlMNUJlXYxICxXdekES6Xbepf/5Wx/XxXq5NOqgHrcddoN6jHQEjUpEHGoCA1//5wO4KVG4OLyguOpMsf7W54/zojdewfSpKs1qxNSJSlexsrgbY4zFGkuzFrXdaMc2FZ+0brSdeKpQWYTvFMfkQvBYyL7L5d9gIZ6eIpRJAuigTuat5f4BtOfhVitJ21cpMvECOc1YQcUT1LZub3eYujgwjmJeJncMY2FqaASRuriCpe5l+Mvrf4i/OXSg65xbnajspXvIXnbZip/DchN7KSQ/f9nP884738lkfZJ+v59T6zNMUiCULla4OCKV81mzJFdRK4mjDVJrjFIY5SwkRXdcd5GSkVuX06bri0pXhrgz86gHt+PxxHJ+H7nsNmq1o1ibOJUKIdit97Gzvp/jchNVlaMo5vHuy3LjVf87vX7dst9OPtNypNSVAvxct4gQm4jjEls2/xL9/VetKO99orqRTwaMX3QJ0nEwWiNFD9WIMUjHYfyiS1Z9zJUks9akBI10MV4MkXUQgcYZ9DG1eFm+RWvM8dDBGf78ziPsjWMG8h5jyiXUhkfOVHjbJx/kXT962aqKFX9bP7V7zlD9xulUsUNyjkoiCgtqHvrBNjTFH9yIv7mva7zSOk79/klKnz6ClYmVfWJZmxxPuAqRVRBZqneeBm1R/T66HiUjofQr6q7J0f+CbY9LiGAneqVRtxKllZKAJY6SjB5rRdLVkhatLUEjRkqIgoR70kIrxXr6ZJV/+eP7qJXCdmBhfsBnzw3r6B/LcttHDizpxjRqEUpJLrt5PRt2DT2p83068VSh0gNP1l3dYyH7Lsm/Sb80ttnEBCGVvgF2zE5y8VRi0DbQqOMYQ+xn8Jp1iCKs0yHzFUk/dfb5z+fbtSZ78pkuDkzTWMKUKBt1LPCOjkEIYiF5dGQN//oD1/Dir9za85wfy+dwzfg1vP26t/P+B9/PkfIRSmGFU/0vwxEGKxKtjrFm6c41VSFFTnITAZDWMFKvII1lqtAHqUEcJO8PBNaYRO4rVZIsLQT2zCxmcACZ+r1ciOHYYqwkLe/l91Eo7OL+B36OqHkfYTVGCDfdXVu2mKMoN6A5myHMPb9L+rpY9nsuUuq5AvyU8tFakMttafNregUmfre/Y0801mzbwfCGTUwdO4IxSbHSUsaZlLA9vGFTT/fZ5bCSZLbtV+JIRI+QQbRBeoqBH70oEb4sw7cQUuCsK/DuWx/mER2ztn9hl5+RirV9kolywHtvO8S124bPOQYKDpeofP1UYsDmyEStI0XSzZkPEIMko6uGxh3PU7iud8ifkILclWPUvzWZvP/hDCJOOgdCCqwjsJU0ATxOihQhku6JDTVWG0xTI3Mu/rbeHjWPBb3SqE1K/BUy5fkaixXgOCLtBC103IxJUpE7CxUArQ2NakQUahxXEQcarS2NasTX/ulRHFciJPSNZLu6MYW0G3Ny/xxXPffJR5pdDk9YofJ7v/d7fOYzn+H+++/H8zzm5+eXPOb48eO84Q1v4Ctf+QqFQoHXvOY1/P7v/z6O892vn56Mu7rHQvZdbpfcjGNmi33kopBX33dnO3r94qmJBYVNGCSvm6oSan6Gs4NDSKV4r3D52wePsMZzOd4MGUw5MLE1WCymQ3bZKhAEiWW+lpJ/3X0VP3L7V5YlKHd+DsZavn0eBMlrxq/hGWufwSOzj3DffJk/PpNl3PHRWCaDmJqOWdKE7zpe8m8jJAbJYFClnMkmbrUd7wdjMGGU8FfS95WNI7xalahRx123DlnIX7DhWAurkZb38vvYsvn1VMu/gTEz6MCCcZDKItwQHUgqh7dx44/+5JIi4XxIqecb4HeuwMTvVwgpuelVP8dn/+JPaZRL2I5iWSDI9g9w06t+7jzTzVeQzDbipEhxxIqEWG/98kTQFvaeLnNosspgzuvZ0R3IuRyarLL3dJnLNiws+p32/DLn4KzNd5F/ZWiI55rtLgjGJrwaT6Jy7jnlvku4L7mEn4M2yX+nRoAy3y3DFp5CoBCOJJ5a3g9m8fmvRJpdjF5p1C2jtlZWbOfPkhdMrwMiqd0iQxzqrjTr6myS/BwHJrHJb70nlZ5voJFKLNuNeTK6z66EJ6wiCMOQl73sZVx33XW8//3vX/J7rTUvfOELWbt2LXfccQdnzpzhp3/6p3Fdl3e9611P1Gl9T+Oxkn177ZIdqdg+OcGr7/0GT5863X6shAWFzcAgQ/19eBYmjWaG5AuzznMY9JzECKzepKoNBSXJqjTfxtIO5GshVqpLLXNkeIzPPPeF/Mo5CMrn4//SCSkke4b3MEkZJo7jK5G03IOQo9pgBZheDpOLMJ/Nkg0DhmoVzvYNJjYVQhABMtZYJZPuSnqTGarXkI6DjWPi6SncXK4nt2O15nvnKy3vxNDQ9Vx62R+yf+8fUxGPYk0TawThfA49fRU3Puv5bMpMwelvwdorurg4qyWlnk+A32NJCf5+wKZLr+AF//1XufuT/8z0iWPoOEY5DiMbN3PNj/7kBb335SSz3roC/kWDbeLpY/H9mK2HRNriqd5FlK8kJWOZrS/Y1/ey55d9Lno2WCgcfIUzmEGXAmyU3iu0hUAjh5aRTq/y/bvjefztA1RvP5W8715YwQ+m1/k7Y9kVZcgtWGOx1pIpuG2beiEEjqdQriQKOizt2+PjhEuinKQzFkeJKWMrTBCgMtvALJPAYXVSuCUy9wXH2c7v45PVfXYlCGsXT+gfX3zgAx/gLW95y5KOyuc+9zle9KIXcfr0adasWQPAX/3VX/Gbv/mbTE1N4S0z3liMcrlMf38/pVKJvr7vjerwsaCt+qnVe5J9x9/xu+fk0XQujoOOpP9X3kx04ADO2NiSBebu/AAffd5LOLx5K6VY07qPKMCVgiHXYdhVNLThcCPEl4Jxz2Uyiqm2nE8XI/VIETZxpB2T8JdXXrTsQrvcIt3iS6y0SLfwQKXOzz14hJySZJWkVKlyUluUMUTKWZrm2uOc/Shi89nT1P0M0wNDhL6HRGCMRhlLIWyyplJmJl9AC0lfs44bxYRSUluzlmLG4/Ubx9iU8RjyHEpRzP89PnXO4stYy8sfOMzD1caCtNwCUR2rYya0YLdn+OhmFzl+RU/Sb/IWDOXyQ0ydfBjdUPTXY9Yc+UfEzEEwEUgXRi6CG34Ftt208vXogbbqR9d6BvjtvOR/MThwLZ9419uZOn60KyU4OT9LdXaG0U1b+PG3vfP7fgz0RIy+ltv9dy24JvE/We2C28KDJ0v84ofuJe87ZNylxX0j0tSDmL9+9dO5bEP/Env+VoGkyyE20KihDDLd7dtAp10V2x5XiZyTqJV8xeBPXEzmot5d13O9/+h0lZkPPYLwZZKOvPg5kcYGhuFX72p3VKyx1O45Q/nLJ7CRQaVEY9uMMY34nOfUSWSNAk3YTJLUc/0emZxLsx5Rmwvat8eWw6xJR1bFtECrzDQxxlIcyuBnHRrVkNp82PM122hdP5l0UPpGs7gd3Zg41ESB5vmvv+y73lFZ7fr9XZux3HnnnVx22WXtIgXglltu4Q1veAN79+7lqquu6vm8IAgIgqD93+Vy+Qk/1ycTzofsu9xuffEuubaC0ukZ+RrDm9fyW1LiSYvWpk2Y18ZyOoiYjWLGPYeMFDSM5UQQYqxFxRq9WIbZ8m62FmUtKEnkOPz50bMUlGQu0l3naqzlz4+dZS7SDKRzXsny+TTLYTFHx1UKEcdYBI7RRMuFjHWcc+B5zBeK9FcrZMMmOzMObyTk2Cf+mQHXYThocPHUBN9cv4UPPe06jg2OUMlkUVHEWquRSvHnx84SWYuxlpo2eDKxel+pQ7JEWh5UoDoJUR1hDAPS46DK8uAn/4Qr+nKw60dgcDPkhrs6JEJI+vsvp7//cjh8G9zxFgiqkB0Ex4c4gLN74dNvgRf92XkXK6sJ8Dt7+OBjSgn+fkIvf5zlYIxl7+kys/WQoZy3rBx4Ocns+fp+9MKedX1sHyvwyJkKa3vYx8/XI3aNF9mzrm9le/6Ciw40uhy2CxVdCdtcGoxJIgBSV1wdaGY+uo+hl+8ke45ipdf7P1/b++bBecpfPU54pNxOXm6RVW1qLrfSOS2WI2fyLs1aRL2cFBlRU+P6ipGNRay1zJ2ptc3XHFeR6/fwMg7WWhxfJXWHsdRKAUF9FV0Q23pv6f/rhd2itZZmPX5Sus+uhO9aoTIxMdFVpADt/56YmFj2eb//+7/PO97xjif03J7MsMYgC0WGXvMa9Pw8anAAZ2h4Ccl0taMSYy0H91zO6bf/L8Qn/4Wt9/0nolTCuh5Hrn0m5qU/xl9kBggbAQUpqaXuji2OHkDTWE42IwYdSd0kqbVOrNvBfV3dCiHAGlxjsK5LRkpyUnJ3qcarvn04uS8I2Jzx+a1taznSCLl7voa2lqrWCAS+FIx5LgVHrlpJ08nROV1vUrAW12iCtEBpnevSC75QWCEEc8V+Is8n32zw2s9/mR/6bz/BqUceQOZyyJQ39PRTR/mBU0c5MLqWOeVwIpPnoy96GY1GQJ+rGJaCI82YpoXIaGJHkVVy2eKrS1oeVGD+BBid9HkB34SUnCKzRsDRr8ORr2H8fh7s383s8E6GLnspl+28YaGQMwZuf3dSpBTHF/rObhacDFTOJL/fcuOy3ZnlcK4Av8eaEvxfEXccnOa9tx3i0GSVSFtctXo5cCdW6/uxHKQUvOGm7bztkw8yUQ4YyLn4ShJow3w9ouAr3nDTdqQUhCdXsOf3VJtAa4Kk05AkPpPm9LQeSNKFMQbbiJn7+AHEyy45b2XO+djet7pApp5GBzgi9XJJeSBKJOeePnfmn/Yx8lM7252V5eTI2aKHn3eozgUUhzLc/MqdjG1KPou9Xz/Ff372KDo2ZAtuQo4NNc16TLbgctPLE7+UicMl7v73I0TNGGt6vdMFKCfZ5GEWZMk6NjTrMV5GPSndZ1fCeRUqv/Vbv8Uf/MEfrPiYRx55hJ07dz6mk1oJv/3bv82v/uqvtv+7XC6zcePGJ+z1nkxYyZF2cZGyGj5DVzFDDvfHXs3Wl76cZ8ZNblU+J4QiMpZapY4vBR2F+ZKJTgTMxYkLq0tyr4mVWiYkVaCFxLFQVIqpKCa0FmKNIen+zkV1XvXtw3hCEFqLK5JiwwJNYzjZDNmQ8cip1StpNpw8xNUP3sfXhjYwnc23uSnCGvprVWbzBWh1VqzF0RohaGf7AMRKMjh/lld/6V/YefgY4uU/gbN1Kw9VG1TWrWewmXRVJHDJ5BnuKgzw/hf9FFWSYqjaTDpSrftMDBxvhmzGo5B2TBYXX21pubZkq5OJX3abgSkIpIdrY4bCWTAxtw8+nfdseiUHc5uJkLjHA3bM38sv79zJDYNF7OlvMXnsGA3WkEUxVjQLHGIhkg7L9KMw8QCsSzqb5zOmWCnAL9vXj1LOBacE/1fDHQenedsnH6QaxAzmPDwlz1sOfKHoNUa5fscI7/rRy9qFU8lYXCnYNV7sKpyW83aBpHMmix5mrompRkhfkcZdLxQpqtPaPiWfBnpJWvNqia7+tn6KN66nds9E4s0CCNUtw+7sAomsShRJ0JW+jEmkwwDCQlSNOfyhR+h7+SVs2DXcU47cgpSSXNGjWY0Sp4P0PC+9aQMDa3LtUVHY0KnTbL7L46RZjZAiuX5C2WV5KgCZotsm2RptqJfDnsf8XsF5FSq/9mu/xs/8zM+s+Jht23qney7G2rVrueeee7p+dvbs2fbvloPv+/h+r+CJ72+cy5F2ze++g8OXXs50EPEnR89SjTVr/YUvy+LdurGW3zxwckkx861I8A3rQwwS3V5Um8Yum47eQkTCXdmGpj47TT2bYy6Xw7K0q2KBQQwVrdt+I7FNNjApSZ/AQmgtLS/Y1v+kEETWMhlGjHvuqpQ0n/jm/bz70eNMjl+EUQ5CwHCtzIbjB5geXMPU8NpuDwoh0ErhGI0TR2ilkFrj6pirHr0fEZQpN8p85NjDfO41v8Sjc2VCqVDWsHF+hp+58zZMrcb//rFXU81kEq8VmxQmi6GBE0HIRuFRcNQSGXN7bFUuk4mbSXfCxO3rOO/0sbt6iMuqj3L7wA/w1ot+harKMWAa+BgCAw9Xfd66/wS/7oXYT7yf2eNjaBRKwFDOcPXmkE1D6Z3P8aE5D/UZ4PFV6Ixt2cbQuvVMHT+KM+QtacOfKyX4vxKMsbz3tkNUg5i1fQty4KyQXJTxCash/3rro1yzZahL/nqh6Fz049km9Yem0FPNJSTShWynMrO1gNGaZkvOR/kuwYkytqHR1bAtN17s7QIgHQE5FzWUQc81kx+2dkKSpcWGSNKXO9Oam4/OUfr8MfRsM/EIciWyzye7Z5jMjoEl/JzobD2x3wdUwcXfM0xm2wAyo9rvvdUFwoJJ1YqdO63ODElE8n12A829H94Pr9qZGKstkiMnz0v8UkycKHgalW6eyYadQ6zbMcCj955tE28vevoaZMdxMgUX5UpkZNCxRSp6FitSCYxOSLw3vfwS/Jyzonvt9wLOq1AZHR1ldHT0cXnh6667jt/7vd9jcnKSsbExAL7whS/Q19fH7t27H5fX+H7BuRxp784P8NHDk5yyR6hrQznWeFJQ05aC0yHH69it/+/DE0tyf2JjqBvT/h66aRfF2HMXKZ2IUnO4Kc/DIvB0TNhBWFU6xgpBGYdIm/ax3XS3AC2Ha9v+d2jBTQ0GBEmXuKkN01HM5cVcl5JmMb4+U+Z3JyrUi0Pk4whrDZFUzOUKNLbsYtux/ZwZXYfSMbo9krBpQrKDkCYxqxOCwM9w6zW38NWrbqa/UmLCHyVjJa60+M0qsZQcGB7jnc99MQNxTLO/H4FAkhRyi9HqOBkLk2GMBBrpZzCYEv/aY6uH5phwBxmIa/hEBNJj3umjoOu88cRH2Ot5/K8tr2Je5dgQTCGUB1KRFYZMOMXpRpZ3HzvNK87OkFWWrNTEVjJVk3xhv89zLgmSYiUOEmJtbvhxV+gIKbn6pS/jC3/zf6nOzpApFC8oJfi/AnrJgS8JLM+twJoYlHWJTkYc/+sHGL9l62MyK+sk25pQY4OkSG5LfS2Ep6vMffJRBn/0Ivxt/Ww9WWMs7VDMaZvk9liSgsF3sLFBlxPSbE9eyLo8w6/ZQ3iqytzH9qPng2S3Irsfi7EJCdZX2FqEqceUv3aS8heOJf4rLTRAl0KikxWqX3dx1+XxdgxQu+N0OsqxSe4REDc18W2nqN1xBpVzccay+NsHFrpAgiSLKFyoBDrvScImG4zQQEYAjZhv3nqMa16yfYkcOWzG1FNTNpsWPv/56SMoR66Y6bP/7omu7sfoxiJD43nOHqu0xznKEem/Fy6Dn3WWzf35XsUTxlE5fvw4s7OzHD9+HK01999/PwA7duygUCjw3Oc+l927d/PqV7+aP/zDP2RiYoL/+T//J2984xv/S3ZMVsJKjrT3bdjKn9z8POqux3Ac4bgu5VgTGtsejxQ6qnJfCqZDw7FmwJDbMT+2MBFGXWOa1oi2ZfR4LkiSe8yMUPTl8oTKQVmDSXf+LWjlIKylycJmxWGhSDGA7hCjtTYxIQtPaC3wUsANg4nXRy9pr7GWPzlwjLqQZOKIUiafjHLS12n4We67/LrEZ6FlbCBavZuF15cklvpuHDJcmkULybHxTWglUdUKWFCZLH4c4QZ15nNF5l2PMSFoIEhcZbrPvXXs1qvVtOFII8QAnhC869AZ3rRlDTcMFhNp+VrFex4+wcHMOkoyi2tjdteO8MNnP84/+Cd4eOjpHM1tRtkax12HESvIAwiJMBqnWmYyP0Bp6x76jt0DURNXSRxpqYaCe455bByoIxpzsGYPduwy7vl/v0vYqHcpdFzPxxnyqM7OcM+nPsbG3ZedV2Gx6dIreM5r38jdn/oYkydOEMcxjuMwtmkL15xnl+ZClDPfK0Zzi+XAlwSWl89BxkJNQiySjsXgVKNdQFxIsbJYnWMbUfsLb6sxVsTJF00JjI4ofe4wWIgmagveJx1/3DYyWMckvJPYEM82cPr8nryQ8Gg5Gbc09EJHJbZYmRYsJvk+yqKbhmhKopl6UqREJmnhIuiaSwMm1AQnygQH53srD1uIDBZDdKZGPFlPHqtN28Zfz5oOVmr7LSYd3xatBqiHMc2TVcB2BQBGgaYy28SahCxrDDiupDzb5Ksf3s/Nr0wciBdnAbUyfVqP2bBzCCEFP3DLZr764f00ABMbTMf7lo7gkmvWcumz1n/Pdk6WwxNWqLz97W/ngx/8YPu/Wyqer3zlK9x8880opfj0pz/NG97wBq677jry+Tyvec1reOc73/lEndL3LJZzpDXAh552HXUvw8j8LF4hj/X9RNmDTYzNwoiC8tvrbmBs+/vfmfvTMIbQLCoO0lXUSUcty33fnfTxmTTXxpeC+YFBjDZgLHGngV9aCNj0tVvLQ6sgitPXWVwwtXxiOxd4SLoq7zsxyftOTLHWd3nVumFevW64XbA8WG1wJIhx4phStoARSQChgAU+SnrExWRaYXRyDZREp+nKw+U53FgT+076eEklV0Cm8QCO1hTDBr7RNIUkrpXwi4PUdff1E1hsRzHUGglZwBWCEc/hkVqzi1N0w/YruP7Od/LgiRqzwmcomKKuT/H/DRaoCRelCgihUDoiEIIzwrImBt+AsQoRhZi8T93PQGFNQsrVEUIqMo5gti6YPDvLmqEi3PArTB4/+oQpdE5m1vNva1/ETHAYFdbRXo7htdtYn1nPplUe40JGUt9LRnNDOQ9XCUJtyArJcytJkTKfZtkYazESKLjY5lL+xmqwWJ1DZLq7FLBQTUdJpy86VVv4QirRzeEA0BbT6dERGnQ1NV4TAjXok90zQjzdoPy1ExCaxFMlI9GtwECTvHCrYBCewpRDnLU56vdNJufoJMfreb46JeWuVKSkMHWNGsm0HWx1LUL1p12hQTCzzbRWSQ6mSYqUmKSbUjEwF4NMvUlaxUR1PiAOdOKSK5IiRSlBfsDH9RW1Ush9/3EUEEvIt52ZPt+89RjrLx5ESMGGnUPc/MpL+Oatx5g9U0NHSbRH/0iGa16yjY27hs/9hr8H8YQVKh/4wAf4wAc+sOJjNm/ezGc/+9kn6hS+b7CcI+2B0bUcGxyhr1FLCFaOQ1YmqpiGtiiRFCYNY8gq2Q6U25zxmQjCrtyfzlwaoJ2SDqRZNgmptRc0ycZGYRFC8qbNY3x8Yp77KzXiljTWGhxtEv6J46ARaCAjBU1jiSwpI2ahw9D5apJkFNXqtsTpL6NU5htay3QU87ZHT/LhMzO8ffs6bhgsMhvGxELS8DMYIZA6aeXqxSS/lrKn9W/ASpWoEBAoHTNamiHXbBK5krmBPLadVSOQae81Uoq5TJ5CmMzdQysYFkn3KLn3WhaXfJ38HV8Kxn2XgqOwi4MMpUTe8Bau+PRboD6LCWu8fmyQmhCM6ZhqXELaGCtc/FjjBIqaETQtIBSRlChjyIcB+EVs/wbi8iQmChEYtFY0itvgRb8G226icf99bYWOtdCMNLGxOFKQcdUFK3S6CKKD6xFKEmnDIxPVVRNEL2Qk9b1mNNcpB74o47MmTjoprfpWG0vGVWR9BytFF39jtVicvJxsLno8UHdzNTDQJo8t3lW04KTfKZN4emR2DhFN1NBzAeWvnoAwHRX1eYmSRglE3sFWF5hcYsBDWJKUZF+Ru3SU8uePdbi4dpxX57mcz6xaG0RsETkHU4vBEW11kPQUts/FlqJ2FyUguR9lUu7vodggpUgC/6oRl1w7zs2vvIS7PnWIyWOV9rk5niTX57WdYjM5h5lTNRCiJ/l2ORfZDTuHWH/xIFMnKt/z3JPV4snX7/w+hTWGxkN7qX79dhoP7cWa1X+TWo60ulSi059vPpsjlhI3DBG+l3BWhGDMc1BigV8SGkNDGyaCmIIj+a1ta7kon2U+0u3jOUK0C4QWOv84zAq+gJZkd1HWlvlY8/uHJ7gk57Epk+wQHCHwpMRxXYTnJcFbIilSbMp/0YuOt/jV2psj28W5I7TQMBZhwUt//0iqbrp9rsKQ5yCVIlZOkopMUhjYzsKkhc6bH4A1qduspa86hxGa2WGPmVGfppvreqy1gEmCDC2CmuOhrCFQDhljGJdJh2bhhRLDu756GWESgl9WCrZnE0ItdHOKHqymwW3bbko8TtZdxSOFAY64Dv3GIBAUgmPkwtMYUcRrOCgjsCJZJJCKpp9lcHaSkckThI0683MV5hsO5ShDKcoS4FO69Bfb/ikthU6l1uToTI1jMzVOztU5NlPj6EyNSq153gqdxQTRjKuQaeGzts+nGmjee9uhLifOxbDGcM+nPtYeSbmen7iQej6FoWHCRp17PvWxru/YhTznQmGN4ezhgxy9/z7OHj54wcdsyYELviKshihriUm+i5E2SCEYLaZjciWTvKke7qoroaXOabu2dp5q582g18ehWbkgsNAK8jSBof7NSaLTNUwtgqZOnmvBlkLiiRp6ot5VpGDAzDSwgcEdzzP4oxfhDGUwretp7NLzWu4Gdg5YY5NrIKFw3Trc8Tw2MJhqiETCoE/JgBVJgeIKqFh4MDRM68SBVkhBppBw3DbsHOIZL9qKn3MojmToH80yMJbrsrNXjkzIt7FZlgzdesxiF1khBWOb+9i0Z5ixzX3f10UKPBVK+B3BSrLilVxkrTHtQL6+5z6H6ZMnukzZ+krzqCgicl38kdH2l7TgKDZkYCKICIylHBtyiq5AOSlEd+6PELhSEKcLhCS5IQqS+0nr9rHWVczGhngFgm1FGz56dh5fLHRxlZTtAkRbm5i2ScFsvPyC1HUtsKRdTiDZzOn27xKiqiRVDFmYjzTvOTbJhy/fylrfZTqKEkfOzoOe47stTTIOktZgRZLJoqUgRmFave/2LqjjfVhDrByGStNY5TCdy+FUSwxEmlKxHyOSYw42qmiRKKKU0YxnskkR14FOBdACt6JA9vo/ZK52B/He9+GpHCgXoUM2Vj/P0dzPUMv14Yd1pNaErk/Ty+EFDa7+1m1Up6fBGoy1SSiedDA6Biu497OfYnD9BjZdegVjW7YhB8eYO3qEhpPHURKRDq0aYcxcvcaaLVvPS6HTIogOZF2akSE2BkdKMq5cMS+mE5NHD5/3SOpCnnMheLxHSy058L/e+ijRySjheEjIuIrRok+hlTKsE7dZmTu/W/qS5OVFyernxErG5u1D2RbxbPnHLnczicHdkGf4lbsRUlC963TSiWk/ftExu9qwPcZSPc8zlUKn1zCzY4DiszZ0yZ7nYsM9f/Ftss0YF4gFlNIbmklHO17WIVtcGM9ni15il69kV05PCzo2yHQc1km+7fWYVgHUC9bY7/vuylOFyhOMc8mKx9/xjp7FSq/iRg0NQbEPPTuLLZXYMV9iS73K4XUbKea7VS95lRip7cz7/PrWNQx7bhfZdEnuj7XklcKik5weSB1UF+4JI65iLOMhwpgzwbkdElt2+53kWIEgk7qxHm0kEr0WIW0pkh2T0horBIO1CkoqpgoFdI8qo+XBIoGcEhysN9lba/IC22Bvq+hInXVJz6YbIqHzt85bJL3kvso8oZfHjcoYrTGOmyh5RIe3TPtpAiskAsul+7/FpsosB1/0Sh6xAu37ZKMQKwTSWsJUYaSModCokcm4pOzANlpBhuHxw3zivR/vWgC90QHG1hRorsuScZKR4PrpgO0P/Dv3XnYjc32jaF/iIRivzvGs/fcyfOYY2uiEK5Byh6zRCKmobN/FSSSlL3yBN++6FCEk9/VfxZg8SUHXiUUGIx2UicnoJoH0uK//Kn4uDZpcDWbrIbVAU2pEhNq0ucu+IxktZsi5aklezGJciGncd8Jo7okaLV2/Y4Rrtgxx/K8fYHCqAQWXrL9w6+7lrrpaLHFtlWL1Czws8Fd6Pbw1llEy4b5cIJp7Z6ncdRpCQ/XO0+nmoMcLLp4Vs8K5sfB74ch2ynLrGi42xxszltGNBc4eq2B1Yp7Weu+OqxBKMLqx0OX2Orqx2EWsXSLFr8cMr88DgpnTyz9mJRfZXmqhwbW57yvFDzxVqDyhOJesOJ6cZPp9f0Pu6qu7VAfLFTfx2bPIXI7h170Ob8MG1OAgbx3fyG88erIrEbmVg1N0FW/bPr5sDk6vdNxW/syBap1qerPqdxTlKGat74KFSqxXKC4WYABfJH4o0kLBVUgEA46kaRZkyb3vIwsFg1YKaTT5KKQuVHoP7exm9HpdQdVY9j16gMKH/5I1N/4YkwMjGCU7uCXdrycsbXMpsCgT48cR1zx4F3dffh31fB9FV+Jk80ykjt/SaKTRbWItWBwd48QRW88cZXOjzMtLx/jU7V/FDo9RiELWVmaYKA5T83yyYcBnL7qKM/kBdKxxOgRvLU7RVmKOf+AviRctgI0zU1x5Osu9uordkozZ3NCy6fQR1swdZWJgFJMbZKvTz/rKDBKoDQ5QnZkBRDqSEJzcdBF3X/UspotDxEKidMzX7nmYHxse5QE9ysZtt7Bj4h5yjVmcuImVilp+lEfXXs1JPbpi92MxTszWqYaJVNRRMqEGAY3IcGquwUjRSzKkcstnfV2IadwTbTS3eLT0eCmkWlCOZPyWrYk6p6kTMvoFhgt2YrFrq8iq3gTZC4EGpEC4csHZtf3CrK5jk6L8b4e7CbxSdPNTOg9ddLBNkxRHMvFfMakd/9IHA67AzAUIX1F41oae17BTcRM0YzIFt01ri0KNn3Xabq+dHY5tV45Snm5SK4Vkck5b0dNyiH3a87YAiepnuccs5yK72Kp/ObXQ9wOeKlSeQKwkKxZCoPr7CY8cofnwI2Qv3QOsrripfOELbPrbv0FIyY3AH8nuRGRXiK4xz0pYLh33fx+e4FgzwNhkVx9YmIs0OSUJzuMm5gpBYC0hMBslw5rpjmbMsgVPi9dqTdKhsNAQgtliR3BV6qvSa4YTpp2IU7d9kWyjzosP38+HL7uRqpdNCbJ2kRGVQJgYpERYS65WwSiHsblJrnr0WwyUprj7ymdRGlmLsQ5KaLQ19NVKZHRMiMAIibCapp9lzdwUO0SElhIpYGN5FjeqtxfJDZWZ9ivffOBb/MtlNzCNYEgbfCEoa00pMuQdyTPu/SphtYyfL7ZVU60FMJqOuOTRmDtGJ+nP9JP1HIy0mFgjhaTo9SG6LrBACEFheATlOBwZ28itVzyLpuOSDwNyRhMCB4KYP52YQhccqrmtfHt4K4XaWdyoTuTmqObXYCxE1WDF7kcnjLH8x0MTnapTRNqNcSVExjBVCbhm6xB71i0fUHYhpnFPtNHcd2K0tFJC8PmEC57ruOjz7H6seDtYRi14IXWQpeuGIRyZSKA7j+cKhCZRCQHCEciCi8gqdCmkzcLvqBVtLZFfCyWpfu1k8nn1uJadipu5iXqSz6MEoxsWPEt6dTiyRRcv69CohAT1eIlDrDWWK394I3tvP02tFCY+UedwkV3Oqn85tdD3Op4qVJ5ALCcrbkF4HrZUQs/NtX92IcVNr85IL0+RxegVWnjHfLXtWDvkpmF52jIfJ+OeUVdhWb0BXP0cRc25j5OQTtfMTjMxPNK2vW9jme7KXGy4zBPkHt2LXyxiBUTKbZP72k9uEf4AoxRuGJJp1jGOixcFXPPA1zFxxJYzx9jZ+HfODqzh8lf+LJWBtfzFoZPMuj4u4FtDLAR1L082jnju6QM4ysUqzfiOS1ZcJNcf288r+/p44MYX8nC1STnWCY9HAM2Qzwxu5NrBo2w+fQQQOJ5LfmAQL5uj2DeErCsuM6Psi04hmobDG3bx4CU3Mz+4BqsUyhhGayWefeRBxiYnkI6D6/so3+e2i3+ApuPS36wnm1xr8Yyh35FMGGhuyBIcaZB1FdVCt2N0EOtzdj86sfd0mcNTVcaKGaYqAbG2KEm7q9KiMjzv0vGegXvtv4gLMI17oo3mvlMZRo9HuOBKx63fP8n8vx5KzNvOd1qTU9BImWOty2iAxvkRfJdF67sqxQLfJc0MaiP1YHHGMhQuHSE4ON9OjFZ5D9nnkd0zjPAVla+msuysg8g4oBM/lZU8aVZS3CzX4ajOh7ie5GnP20zfSHbJc9qFT/o+cgM+e25Yx54b1y/7ua5k1b+cWuh7GU8VKk8glpMVt2DDMOGeDA62f3YhxQ0s3xlZDr1CC7fnfOYjvcSxNusINvgex5shM5E+r/vXhU2mF4obP47IBAFbTh3h9OiaczynW+b7KidkSsccHdvEP++5gdBxUB2e04mnisUPGwSuj0lHTEjJyOwE13zr62w6fTg5GymIajVGm8f4gajGlvU72Zbx+P/ddgenvRw2Nbcbr87z7KMPsmP2DNV0l75m245zLpKv/sGbuXHdGG/Zd5ysFPS5DpkwYq48x9TgGLfe8CPc8o3PsOX0EaIwpDw1Rd/oKK6fwbGKV+ZewL5v3cmDxuezT38ugeOSbTZwsVjX40xhgI9dcg0vaTbZ05inMjPN/Mg4U/l+8mHQvnJGaxzfw/UzjGjDibzDpDBssiun5a4GLQOzsaKH50imKgFBrLEpSTrjKhwl2Th07r/jlmlci7ga1KpI5TC6acuyxNULec5q8Z3MMHqs4YIrHVeXwy431nMioyDNxHHyHjZnMZUo6XTYpJ9iBdi8g6o+DgVL6hBtBck4qYc82kaaeLpB7Z4JBl66A5V1uoo6gOm/ewi07XbNlQrZJzHlcEVPmpbipuu0VtHhOHz/FD/yy1e2j9krZVnHhlop5P4vnmBgTW7Z0U2zGvW06m9BOZIg9XX5fsBThcoTiJasODhwAOH7S270ulTCv/hiMrt3tX9+IcUN9O6OLNdRWRJamI4avlmuU9eGcc+laSyxNThCkJUSRwoGHYeS1oiVmP4dOM8x9JJnDtRrSGvZcuo49+6+Kr0Ay3BTOuoUAbx161puDEt8Ujl8aeulBI4L1ibus61XsRYtJFq5DM/PUCn08fRvf4OtJw6yZvoMLT9d5XpgLXEYEAPzZyc4e/ggG8sl3l00/NvX/4MykkEl2FgvYaKISrXC9NrNDL3gJ/h2rclley5fcZHcsOdy3vrAYSIDm7IeAsHc9FncOEKGAbV8H3dd/ky2TBxDWoExmtr8HPnBYYwxPPD5z6LjmLt/+KeIvAz99QpWaywWaQ3FKKRa6Gfvs1/KL/bDl/72L5luhsRCkjOJTN1ojZCS/MAQCPCVIOM7eDmHiamV03JXg04Ds4LvkPcVzXBB+YOw1APNQNblwZMlZushQzmPPev6er7GpkuvYOPuy87LZfZCnrMaPJkzjIyxSS7PMtezlXOjaxH1b00mP1zNl1cKpK8wYereaiwyk1ju1+sRtUpIbAy+Ffx72OQncRIH6sf0ZsAKu8ChWXyOKY/FxgYbaKpfO8nIz17aFWJ49ptniU5VEb5C9ehGyJxz3p4059vheKyjm0zBXWLV34nVqIW+l/BUofIEQkjJyOtey5nf+Z0uWbENQ3SphMznlyQfX0hx06s7siOX6clRMdbynmOT7a5JTVuOpuZvOpUcnwojVLhQD7RqgxZ3bchVTEfnses6T0hgoFEHo8lFIVtPHeObF+865/MguQleWsjwmvUjCDtM/aI9TOb6yUYBoXKSLopNcnyEtQhjiB2H0PNw44itJw6ydvr0oqPa5DNK1TK3//M/4Ho+xmiUctje34+1lka5TEPHHF27hbtueAlzw2uxDQf3wSPp57GNH3/bO3sukg9U6hysNxlIE5TjIECHyS7c2phMs87swAgTw2sZn5lACkkcRjTK84BARxGlrZcwXRgkHwUopbBKYeII5bj0jYxRcFxOGUNpy1ae89o3UvrCF1A6JgQ8Y3B8j/zAEF42UZAFxpJ3FW++cTufv/PEimm5q0GngdnavqRDk/VSq0BrmSgHjPf7/NGt+zg8VSPSFlcJto8Vln0tIeV5cz4u5DmrOeaTMcPojoPT7aTjXtdzScZPM+16rKTmIfmdcCXSUxgi0rRQABrViLgSULAtDpLgWVoRkPjA+Gn21XlDpP9bbD7XiVYLN7Lg01VwtMYs4kyN3dYS1GNUNSLf5+F2+JsknjTxeXnSnG+H47GOblajKFpJLfS9hqcKlScY+WuvZfwd71iQGpdKCNfFv/jinj4q51vcLOmOSEFTGx6o1Hnjw8f41S1rl1jKH6w3GXAUs5HmbBhhbWL4RgfZX5P8cbTvCbaVx8OqybTn001p3YNyUpJzJI7Isv7wQV7xxc9w98YtyW/b3ZTuMU/nK465Dr+zY33yfoVg/U0/jDlbw6tVkF6WaLEjrbVJ7pCfZd3kSdZPnEI73cc2sSaJk5ZgLWGtip/Lkcv1EccRlZlpvGyWa370ZezvX8NfNRUNJH2uok9JQgsPpyZ0f3TJRm7osUjOBBFhGNFvNdZxMDZJB5JCoByFjTRNKan7Waw1GGOw1iRJykKQ7evjjJdBS9kebyWkPAejdbtDUtKJJ8sVl17Bm3ddytfueZgDQUy/I3H9TPuythRHuwtZXrlrnFfuHF9xV74atAzM3vbJB5koNdnELHndpKYyHLeDjIRTiGqDsypDfmgDnqMIteGRM5VVO9Y+0ehMGF7MD3kiR0sXgi4H4JyHp2TX9fyTa7ax7u7JdsaPUCRhhK3FfqWPVwpU0cM6LZWcAFdighgqIZ4FkxKlI2BICzLAWQzKEaxBJMTW82m72vN4LGDqEcJXmHrcNWYZyTrYKEZZiEPTTituFysX4Elzvh2Oxzq66VQhna9a6HsRTxUq3wHkr72W3NVXt83b1OAgmd27lt1drba4WdwdEUJQjTWTYUxgDKUY3v7oKT4zNc+bNq9pW8rXtGE+iqmbBUa+7ZHl0yLIt+4lMVCQkiFHUu1QBjgdv++E0+NnK2HIdfid7eOUdTLf3uVGjN/ucGxuGkFSUBjR8hBfWqyMS8F79mzp6iLtvOhi8pUDBCRjniVIXWql0Vx9/+2YlmNc+rvk2qTvNbXfl0ohpWw7m7bkp/++71H+4cqNlLVGCkM9sMzJxCl4re902+F37IBqd91F+PFPIW94LvVmgK9jjNeSPyaxBNZPSLF+rYKOFm5eyvWIgiZOqtpRxqBlyrUh2Z0ZkrFOlCqhhrzka6+U4td3buGt+08wHRsGjOmStxccyS9vHkuLPlYtQV4J1+8Y4TcvV9z1qU/iVKYQViOwXAMYAdoKhFTUp4c5vuFa5vo3059xmKqG/OGt+/n4liGcZW7uy+Fco4/VorP7kKTsSpyxbJfi5vEeLV3ouS92AG7tuDNSsbZPcrYUUPrqCcalg+xLRlXSpt5BrR2KIPkOLN6YOALV74MEW4mQ+WSgY8ohcTNOvqcsqIlLKql9shqGEJwyhpFiBlWNHpsM2hELNylYuB10ehuFBjKKb37yUHvM0gQa2pDXBpt63dXKIQMZ54I9ac7d4YjoG8rQqIRMHivj5x/76GaxCqmXouj7BU8VKt8hCCnbKp3VYDXFTbs7ko4LqrHmZDNCW4sjEptnbS0PVhZ288ebIRWt22OcNolyhXPpvJX0OwpPSRQxFvCkIDS2ywLfTVUcmdTLZDWwwIAj+djEHIcaQTrCKrD9Tb/Nqw/tJRs0qfvZxKJeqq58HABXx7zvykuoGssDlTqXFZLxhbGW0WyGfSnvTmExLfaJXbijZZsNtJRMjKxjbPoMYoUrYq1FqoWbixCCU5sv4WNbr6ISa5QgNc2zNLTlZDNiQ8btssNvEZ9bnjlbanU27Xkah0bHGamUkEGIcGTiHuu6SfDk9ARrZyYQSoG1KNclCpqEjTqNaoV1UjJaK3GmONil4hEIhJTtDknr2kAP47/zlLefL44/9ACnP/sPrNV1xFAfURQRlWaw2qARhH4fQirytSl2PPof3D52M8f9dRgLD56c5yf++k5+45ZLVt1ZOdfoY7VYnDAs1PIqkcdrtPRYzr3lADyY83qOFi73XAbnDeGAJNv6vSsTyW+k0ypDoPo9kALb8msRAjyJacQIBGrYp++5WxBCULr1KPpEkm2jEERASUIzrVhCwEXgWUvkSLxBP5EMX6gZ3GJX684bWsf/z5+tLRmznPIV2xs2ORcBOjJE9QgZmQvypFmpw1Evh+jIUJpu8uW/34dUgoE1WbJFj+p88JhGN/9Vcn+eKlSexDhXcTMbxkTW4qeZOZNhjLYWVyQ3IwsYLP2OpBob/vzY2SRunO5sHejuwC7uxrbGMpAUJlkpk+BDY+lTknmru9yxo3QzVlsl6bb1GmfDmKlQ0+9KBh2HwFoeqTZ51/qL+OHZCT5tM5i0WyAsIEXaYYG1nsvr951oc3SGPQcszEQxpTju6Owsumlbi9SauYFhPv1DL8ONI4bmp7jmW19n86lDC3Lm1vyLxOtGdshQDXDbxVcROB5gUUK2r5mLJUo/m80Zl5JNRi+t47Q8c7w1a/jpb93NH/zg85ku9tPXrOOGAfMZj0YmhxcGXH3/11BSYqxBSkWxWMB1JdPNBrW5OTKFIs8++iCf2HUdpUyOXBggwwCbzTKN7O6QdOBc8vYF6/7H1iFYYoqGYG5iNvl7cxxEHJOJ6jSygzScPG5YYff0vRxf/2KkhFjDkanVBxeea/Sx2lHS4oTh81WJXAhWc+7XbhtettvSUlh5qvfnNCQkCkvccbpCCGTRRc+l5FibKHaEsdimRmUd8teN09g7i55tgrWYckT1aycp3rSR7O4hwlOVdvKxg6AvuQnRlEnRMmIsg1bgmIQntiT5eDVQtHOClmDRjUu4inA+XDJmKTuKQ1lYH2iy2qCsRTdi/A1FijdfmCdNrw6HtZY4SsZd2cKCZHnmdB0pkmnyYx3d9FIhfb/hqULlexhDnpMYqqUjnMDYNPk8XWBIyGyulAxIeKTWBAtjnstkGPXM9IKF0NOY5J7giNZ4OAkYBMgrRd3ETEa9zOzPj5/Syu2p6iRBp24Ms1Iz5rntkUlp3Wbe2Czz/vkmDdejVU55cYiDpaayDKukgJqPNHsrDSww7rvkpaSqF5VmrTBBIdAqMZRz4iTm/ezIOm591ou55Wv/mniX9Ci4wnqNbGo+d7o4nBJ2m8R+pntjJwQONslc0qZr9LLYM+fpp47ym1/5HB962nU8OrKGav8QWgqETWIE7r7yRuQD32DbxBGyBDjl0wgniT6oRi6Vs6fZEkX8uLF8aculTOb7Mfki+Vye3YXc0g6JMTDxANRnkLlhrlh7BRS7F7bHM7tmsSla1GwShyGk5MoYibQxQsfESLTMMBjNMxpOM+WPIiWMFHxKzZj33naIa7cNLzsGOdfoY6IcnPMYLSxOGO7EhapEVsJqzv33P/cI/Vl3WdJxp8Iqs9h7CJi1SQfLWfSnLX0HBknN0Qxm/v/f3pvHx3XV99/vc+69c2fRbsmW99hx7OwJhCY4zUJYEii/AmHpDqFQCjT09yullLCUlN/zsPxCW9qmbQhPnwba0lIoDbQ8UJIGSKBkgZDF2Rw7juNVtmxJM6NZ7nbO88eZGc1Io82WvJ73CwVrNHPn3DPS3M98l883NL//tcnlhXt2IxyB05VqOONG+0uMfPUZSGruzghizAciT0NfAiNAIqGoNAVfckaiUaVw4o2innJtp1smp3Qmjbpoh3AlMmectJ1ev22a5VCs2VWKycUJKSFACfzxiBfHilWzvkrtaY5wVIohP/nW8+QPVejonXgdmzt7OrpT+FmPsQOndurmaLFC5STmgo4MG7JpnhqvkHPMsLjmt9FEa9JSkpEShSZSGo1mmZciJWBXNWpEVpqjKI0RHUxEUxPMtONEa54rV6k017cc5XnU1+AArjSRoKpS7KmGrEqnGimTd2QE/d/5Ox7pX0Oxu4/eoMwja85mqLMXf+QgzsBSZDrDWDxRTDoWxZPe+0wqxEQ6qKWQjC9DOdvR2InQ8/nBS6/jbf92e6NNuWXN8USMZtxLkQhBB4rIkVQShYvxexBC1I6oKUQJF3flOD/rc2DHdkYefZgiCUtSE9GZl+zdiQb+71f+In4c0Vkqkc76FIIqh5YMctfPv5bX/9e/cuae7YQIpCvwM5pIJnSJApVxj+WlcX7jhWcpn3UeK69+JWeftXFqu/qOe+FHn4ND20BFID3oPwuueH9jevJCz65pNkULK2WKhw+ZQt+m119rgdAJCokQDo4KSCcVEqVJew4Z30FIMevgwtlSH3MZflinPmFYTC7Ebix8/l0iMzHb2n1X8tT+Ip2+w9KONGdqSTpS7Nszzkf/bQuffKOJtkzusKqjtebxMGI0k2ZZpGp1UBM/FymnMeFTuBKZccF3SA5XIVJoZWzipSdAOohOQXKwNt3bk7iRqs0I07X3EUFnYjp+DjuQvm4tXb5P/lvPoauJeR5hjtmWyeVo9TckmLD7r9fTAKiad0tspi4vuXgpvf+9v6V+JKzGjI9USRJNXoDrSXJZl+K+8lHbz9cjHAdfKFDKh2Q62r+O6axLpRhx9a9tQghxSqdujhYrVE5ipBD87tqlfHDrbkZr7cJmesvEhOKlKQ8EBIlpK0WbCEyn57IG2F2NzDC/puPGtWP0OJJxpQi0uYh0OJJdlZAE8/4gNI000pGPHJtILdUbCMx7jiBSmv1ByArfI1KaB//7hwxUKvx86RCifJg9nUv4r85eOuIIlKI0NkKydLmJLNVmgQSq5qKr6ztj3jwTpdH19EXtTUQkGlN6KlBSMrxkOY+fdykv2vqzxiNVPNG+qZUijiLEoYM4WiMzHWTH81RSGSIhkEqbrJHjooCcK/klVeTOT99sIhTVKnpJjg4dsUnAUm1sv//xks3E0mFpfoQAU4jnKkWuGFLKdXHvpS9n/b4dSDQqhqgEbhZetWYfoj9D5Yo/ItPdM32KZse98K3fg2AcMr3g+hAHcOBJc/v/+HP0GVcu+OyauiladbxIaWwM1WS+R61dHLSZ5Ox4ODohEZJx4SOFYKDTRyDwHTnr4MLZUh9zOUadKROGJ3OEk4unY6a1azRj5RClNZtdn+sLkmUxuFoSixS7woTvfmcbL71xyUSHVaGNB07aofuy1fDAAZLRAJGSCE+azr+y6fwRnsSpRQJ0mBhBYNQkqhghUqY2TsQTrYFONkVSDEkp8z6itPlwlMF0AeVch9S9Q5Ry7oTYqIuUmRwPpslLyw4PNR4xMU4D86YUKUTGpfPq1UhXTqkfKeUDksT8fQopyHan8HwXN+UsmP38XDt7glLMmvOWHPHznA4c26Z+y4JTL4a8sCNjCti0uQinpWRVOkWHKxutpufk0pyTSzMWGYOvTs9lIOW19UwCKCSKjJT0uA49nmlnVpjJzP2eixBGsPjyCH0RMO97/Z4xXqqvI9E0CnQrSrOzEjIWxeyqhC2zVEopv9GOKx2HJIwIwrARWRLUUtlKIVVrz+VkYSVUgmw8TiOVmdj82DkvQdQ6fEStHkY6DghBaWyUqFrlgs4M61IOo1GELJforYzj1SY+x0KQKEWHgA/7MSNf+hseK1Z4fs0GxtafjeOmKAjFIzLioEh4dmCQF3r7yVbLVIRGCYF0HETtfdivlhnuXcqeZasaL1YkJdlKyNIlGZZF2zljmcOy9RvaCwilTCQlGIfO5eBlQEjz/53Lze0/+hwHd2yf8+yaubL0jPX0rljJ+Oio8aBxm1IpjenakFEBKI2vqox5PYznBlnZm6GjNjE4SNSs1v3NqY92zOUYdeoThlWt5qCZepeIuzQz78nFR7L2aqgI4oSX4PLOkmRlBIEw9R+BgHVK8j/2h2x9aB+Xb+jnU9dfwDnLOykHMQfHA8pBzDnLO/nU9Rdw3opunIyHjhJUISQ5XCUZCXCyLjLl4HQ2RQLqeWIpTXFtrBpFsI1IiAYc07YsXYknBCkhcGt/VW7Oxe/LIHxJPBqYol0wAjCZJpoymWb7fM+kd5xeH+E51IryQAuQgtzmFY1ak3r9SP/KHNVyTBIqk5b1HDr70qRqrcmTPUyOhuaW5XacaqZsi4mNqJwC1Ish/2HfYT63c4hAafo9F98RVBLVaDX9n2uNBf0Ht+4205Zdh0IcNy7qEljmu/S6DlWlGQ5jzsym+caLzuTfh/PcvH0vWccIl4rSHI6ShihwhSDUel62CGkBaSlZmnKpqIhKYpxj40nHMLEQzX9vejErVchZYwcAWtpxPZWYUHMYgnQbQ++oFd5KrREqIZG19uZJF19nch2KEAitGM92MNS3jGWH9qESI4iu+JW3seb8ixrFpQNrzmDbbX/NrjUXMp7rIhsF9JULBF6KipvCi0Le+vwjbNWab1/2C4z09NcElmJgw4u44sd3sXLfDrbqCNdPEwppolSpNI6UeCqupZ8EbpIQSIfRbCcrhSCUEldpzhweIxhNkclFUD7MtAw9ZtI9md4pe4AQ5vZD26jsenTBZ9cIKdl42eXsfvJxwFzghOOgm9JoQko8FL16nIr02bfmcs4YyNUcOZizdX87c7k687X/nzxhWGbdBZlcfCRrj5IEpeA3RIoMgrF6tz7GryTvCLpicB4aQl+6gss39Lctug135BtdTG5f2oiNSKEihaom5vvmiI6shTv1hChRYYJUukVkqEJoHlvv8K//wBE4Wc/skXSQPYLkYDLVvG22NxCtG33PMmeErvCNG65JS2mT+kn0lILYev3Ilnv38NB/PE+mw8P1nSlCfKHs5083U7bFxEZUThGkENywsp+/OnctF3ZmKSvFwTCmnCjO7cgYo7HezkYE5tyODGNJQkWZ4XdZR7Imk2JJykNKSdZ1WOp7HAgjni4HLPFcHCHods0fdkYKfCmIda1dtyltM/nSJpr+38NEUTzgnFyGbM0QbWnKHD9i6vtUPc9dSaW5Z935jWjIiuJhBkp5E1lJEnSiiEcPI8OQSCVESYITx7gqQdWmIgut8eKYvkoRJ4kbz9B4CxGmlRfHwa3VT5Q8H60U6VwHV/7qDfzc697EsvUbOOPiS1i2fgPDu3Yy8PSjvPHJH7F8fJTQ9RhPZ1FCsqpwmF967F6KBw/wT2sv4mDvUlN7Ui3jxxH7e/r591e9mT1rNjIuFNs8j3E/zUjPEsa6ehnp6OZwrpvQ9U1KrzaPyK+WCaWkO454Uf4w/aUqyXhgak2yM4SRy4dNTYo7dR4NYG5XERknasyuaceRzq7pHlhGKpPFTfkmOqE1QjpNUSsBWtG9dBlPrLuWHakVVCOFUppKlDBUCOZk3V83l+vwHYYKAZUomfcxmqlPGPaW59CBQo2H6MDUQEw3wO5ImWnt+WrMJuGwBodSk0ipo9CMS41fiIj2jTeOd8Gqbq7eOMAFq7oR0NLFhFvbd1ciMg4qSNDNLrU1RD2aURMDqhgSjwYk+aARcdFx3QdAtIoOKcyI7MY5SmRnGxHc/McvQaSdWtjWMemptEtqXTfeipwZQFiPxAlhUlG+g44U3rJs2wiXkILB9d14tVqnySIFFi7SUW9ZTvkmnRSHRgDGYUIpH55ypmyLiY2onGLMZZJy/T537DnELTv30++5ZB055Y/Wl4J8rBvHqXcYZWrFb0tTLnuqEZHWyFqVv2CiWwhM2rlR2M9EV+GSlMuHz1zOX+8a5qnxCoO+yxLPYX84tSDRqx0TL8W+jj72dvaxujiCBF6+cwv/evZLKaSzpKsVUhKycUjeNSmtdLWEKwSFbBdxbZJwV1jGUQpXKxJqb3KuR70cWQkjjAY6U0SBy2VXXs2L+17H2ZuvRLpT/2TqRaKb8sNs/Nnd7OtcQinlkwsDVhQPo5Xi8xdeQ+B59ATliVS6Suiulsmns/z3S19Jkvb53jVvQDvGUt6ppasix2Wsq4fu4hhhymfp4SFWHdzL2cU86yvj6FijHHBkEfrPg8EZClyzS4yYiQOT7plMbMTO0jPPpm/F0ws+uybT1U0qncFNG+FVj1I5XookCgmrVVQcc/2N/4uL6Gv4iByJdX899XE0x2hmsSYXz2ft56/oZsVoiDOiqbR5XKI0KVfiwbTFvc1dTDpMJoYITmoDTEYDkmI4Ueha//kkMdHW1bEmQhsobepcUhMRDJnxzBqj+gDDCYQncbuNmE3GAhP8E8LstYDMRUspPbj/iCJcxzLScTqZsi0mVqicgsxlkrIUgpf05OhwHKRo/8kiaHIybe4wStc+iXS4DqvSNCI3rhB0uZJEmw9BsdaUEtXwZVKAJwSbcmk+vmEFV/R2IoXgg1t3s6sSUlFTc7mNTiCtiaRDkPIZroYMBgHS8/DKJc5/8idsPeNsyp09hDUxsqI4glaKopsidBzScWgcaLUmdD0cpVg1epCxdI58V5+J0ggzlyQtBQOey3iiOLe3h1972YunHfAIUyfnriq2pl52Zrs53L2ETFAFdEvKRQDZMOBArpvvv/hlVFM+KwTsDWMTBVIKkSQo6TDW2UvX+Bg///AP8HRCX2S8LJJqgt+jSK/oMF07MxW3Dl5kunsOPAluujX9ozVURmHZeYgVL+LSN7gLPrumeXhfc5EugEj5VMfHGxOnB6Wc0StkLkyX+jgSZ1pg0SYXt2O6tT/80B7Uvz9vLsyOQAqB0ppEmZELA9kUQotpi3vrXUw6Fqh80JLOaUFgohboRhdQi8maYqqzrK7fJlqPl2iSkcDMB+r0TBt0opAph9AR5KMElRgVFAhACpaFCd64aWEWrkCkXYQUxENlSqMBucuWE2wbNU7BKjZpw+W5Fqfgdhxr+/nTxZRtMbFC5TSmnfio0zzrpR6RqXcYDQVxY66QIwRpIejyXd6xcoAr+zo5L5fmyVKVkdDcT2vNI8UKaHhxd5aLOrONC/8VvZ28bcUSbnl+iKhNblphOpgcIZBoEsfFXbGarfsF9226hENdfSRC4GhNT1jh/IO72Hh4v4lkaM3TQcy4k2JZR47VwThDtWhHNqzSvfNZRi/4Ob71klcxFidkHUFaSiSCsTiZ1iBtMrNNzh1NNNrz8FWMCkOcSVEZVyVEns9YZy/LfZ+MIykXhih4PrHjmmJXNALNSx77EYNDL5BSiq5ylTgwbaL9L1uD+MWPNVqLp0VKI2a+9XtQ3N/a9VMZBb+zIXYWY3bNfIf31dMWR8NCHON40W7tL7l0Fdt/chB/qMxBpUgw3Stpz2GgI0U6ULjL26c+wHQxIQWqGE50y7Sr95xcKFa/oe6NP5OPSdoxrccttV8aHSUkowrdAwQJpU6HvQcDliWCYq0wXKFJogQdqJqZAKjxGCqJaZfu8NBBQrBtlCU3nEc8VJp3hOtYRzpOB1O2xUToyWXsJxmFQoHu7m7y+TxdXfYXYb60G2rYPOulXtvSfP+5TmqeC0prfvWxHTw1XsYVopH6aUlvAylhHG8dIfjA2qV8ec9BxhNFRxITjh5Gp3xKKZ90HPGmp+/nrJEhAIJSifzwAVKZDLmevikXxVe960Z2rVx/1OfU4jky6eI7PLiWr7/iLWQEhIcOmi4kx4TAtdYECMrpLF4my+pcGolgZO9uojAgdj2UdBBaEaTSvOZ7X2fd7m10RwlXHR7HXzFA/2+8idwv/NrMkZTJzMFHpc5COdNO3q+6AFJJjDwKI7nTkbqlf1SJiDwHx5OkpWikPmaqm9FKc/C2R4n2jJsoCUy1o69Tr7LXmPqPSs1efzY/AtH01ex5IjB1LlIgsg67w5iOQNFZK5eMgLKATg1uw7Ky6ViYYzidKdCw5K3nHFWESyttIx3Hkblev61QscxbfCitZ6yBmQ+PFcu8Y8vzZGsdBs9XginDEMGkgATQ4zmsSfvsroYM+i5JGDI2tN9cOIUgn86yvDjKu352t7FTCAIqxQLdSwcpjY5Me1FciHPaueVR/u2//ov9hSKZyjgrCiP0r1jJS17/Zj6UdPLUeIU+FVPOj5CEUc3RRTDe0c2abJoxxyPrSLw4Ymxov1mXMnbmkeMQej5v+cHXWVscBaV49a/cwJpXvOrIRUOTMy3ZJSYtdJQCZD4shgA6HizU0MP5Ut02Sv6uFxp29sJzpgxJnI7CD3ZT+O5O8810EZU6dWEyn5a++uMcaWzyG2oD6unPxJMUg5iShLQWdKmJv/P6/epSpbl7CA24Aply6PulTaQ39s5jUZYTiblev23qxzKnAtxm5lIDM1ea5xVJTOqlkqiGJUIdF0i7RqQMBWFjEKOb8nFSHnFgUirZMGA4182+ziWsLByiOl5k6dp1vPGmP2Z4185pL4pHe04/Gi1ya9LJ9steQxDFOFqxznf5wMa1nLGki9+tRa5GYpeegeU4cUg1URQR9ErBu/2Yf0ocnosUfYlp+3YcF+k4KK0J0lkGCyOcnXIQfX2UxkbRA/1Hd2GXEla86Mgff5Qs1PC+48lCDT2cL9XtYxTv20OSD0ybtxBU05Lh9R1k0oLzlJ5RLKU39FC8zxTTzuphUv9DbDckbLbHKQUSY2dPzWTWEahiBImmpDX9iSn+nbraNspI1eplYg0pZ8FM9iwnNvZVtgALKz7mQ72bqBAnjfbnqlJTavQSICMFrxno5v/ZM4xffxMWkOvpozB8kCSOcRxN4vnkhaR75HCj5kG67qJdFCenz3o9n0BpnosS/nDbHj4rV0+ZUhwJB4Fm4PAQL33svzk8tJOzB8/gucuu5WA6i+t4oBWJ41KupbResetJpIAoPLLWYMvCslBDD+fL5EnOJU8wWgjwD4ZwV4m//NHzVFfkZhRLqlJr1ZnsYwLTR07a3DbZAqX9k2GEyeTHuJJlCJwpHvkT95ywDaC1LkaB05VaMJM9y4mNFSqW40o+Mh1D+ThpjOto995Zp8t1WtqkAVKZDF0DSymNjVBNNCKJ8YuFaYs+26V5hNZHlIZQWnPrCwcZjxWD/oTTasYx3UNDQcytLxzk8p6OlsjVM9ueZes3vkb/0AtkOjtxe3rZNH4Idf+3+e/zNnO4q48K5g90eXGUl+/cwlkjQ0fVGmxZOBZy6OF8mDzJuRQm7B2rorSmIgV9WvKmUPBH+6YXS9XtY4x+Y/tEIW074yKYMdWj2/5LNB42F5wgYXaLyFrap6WDCJCQu3TQ1pOcJlihYjlu/Gi0yIee3YPSujFbrFmkSIxP1LKUR5/rMBTG/H/DY5yZ8XlqvIL2nNrcIUEmnaZn2Qr2VaqcLTXvfudvMbjuzClio109zkoVcdkj9zLw9KPznhC8ZbzC9nK1kYpqRgjRGKi4ZbzS6Ha6MJdm27f/lYGhF6bM0bkgKnPG975K/oyN5DV4hTxnRGVSnkd0lK3BJyvHqwZkJhZy6OF0tDvveNIk5+FigFKanCORGkIByxPBz2V8HqpOFUvNQsfpTUOoiMeqU4tp658amksYW7qY29nJ1n8i5ixWphx8LoUwApwlaZyeNOGe4qJ52VhOHKxQsRwXmiMRazIpSolifxBRacr5CGCNn6LDM/ZxPZ7Dc+WAXxjo5qFCiZGKicJIYfxZPCHo81P84abVLG8qAq4Xbf7wcJ5bqi4VIenxXHwpGK9UeapUYvuaC3ljscCm/PC8JgQ319i0o9k0r87BnTtmnKOT6ejE3fM8v3D9W9j24I8Z2TdCaQFag09G5loDcqzFzEIOPWzHdOf9/jOXMVib5FwJE2SUsEILUk2maxo4O4Rn24ilaJLQUQ1fn1ZxILMeIiVJ8qGZPqpAZGoGcTVRI6eMNGbKcdrS9HTmn82PbRYstf/WnSSbamV0OWH0X59FOHLOBcSWkxcrVCzHhcmRiA7XYZnW7K5GplGx9mHOabrY+FIwHCr+/eAYvpQIFJHSKA1VrdES3rZiSUunUr0N9tC+vfz9Fa/ncO8AvXGA09OHTGdI8iN0BCHjuS7uPevFbPzZ3fOaEDzZsXcyzaZ5depOtrPN0ekeWMabPvK/T4nOmCNhrjUgx6OgtXlwYLrNROV2Qw/nKqZmOu+/PFjmj3UaqjGVIKJfiUZTjqYWhQReNg5b0fwoSvjZC6ON56qbvQnHRQUxyWgw1bQNUJUIx021OM/qSlyrJplNjOiZoyr1kpQmsWJubjVCnFhM041SIFISmZtwo432lxi9c9uCjzKwnDhYoWI5LrSLRLhSImvGbkIIYjRxU+g5SDSVRAGSNWkPgaCiFLHWOEA+VvxgZJx3rzYmbc3eJodXrWOkp59cGJBEIYXhg+R6ekjCCMdxyEYT3UKrioenTAierhC3xTRPCJIobLGFbzbNqzPZyXYyzXN0TrTOmGMVuZhrDYjSmo9944ljXtA636GH84kMtTvvjJCclfap5AO2xQGDJUmKCR1RH1opgAANSvPKguY/ibj1+9v4r2cO8N6rz+QlWR/hSHRsrPPNp4Fay29z94/CRFOaaREW073mc+xhnpxWmuGIpB28vjQqUuhKjOxqSrdJB9klUYWQ4r278dd32zTQKYgVKpbjQrtIRH3QYSXROLXPZG7tDUlrzaHIfLTrb6oHyTSF3oUQjXqQC3NpHvrG1wgrZTr6lrAv20kiJa5WSNcliWMqhUJtoKLAVQkVaUzj6sxlQnDdsff9jz/HztFx0pUSThKROB7VTI6edHqKu+1sTrYnarHssYxczKUGZPuBIn9y17PzLmg9GrHV/Njrzhtk1+ESQ4WAnqyH70iCRDFWjlqGHs6nO6jdeW8KNNcWYWmkEcpDADnMm3fzmB2n5jtyGE2CZj2Stzg+w67L4/Xi2jecz1lLM4R7xs18n5ojtZ6XQQpMhEXa3T4H6gZus9zdWZKm71c2ATDyj880UlYthxJmXEB8sEK0b/yYjTiwHDusULEcF9rZ908edJiW4AtBJVGMRQm+FGgE6enqAprqQQ4Ot9aB5MIARykSaaYPS8chic3bvNaa2HFxlCIXBo3jzXVC8Jq9O3jVfd/kB2dexOHuJSg/g1QJA4eHeNlzj7FmyRugd6KmZL428icCx7oVdy41IIdixe6RMn25uRe0Ho3YavfYJR0pujJweDxsO/Rwvt1Bk897U6D51VFIaxhVigBIARkEHqIxDFQDATBaq/NYhsQH3pGkqBQEB1yHf05CbrtvB1+4aiOjX92KrhpPEo2Y3pm2GQlC1VM0c+jUmYnEdBw1rPbbPJfs8Oi9/iz81V1Unx1tpKza4ki0iqcdxGg5ubFCxXJcmGl2UEYKpIac43AwivGE4NyODL8w0M1fvnBgTvUgk+tAVhQPM1DKs7+zl+5quXHBcFyXOI4pp3MsHx9lRW2g4FwjG1opU8eyeyfvLo2wv6u/MTl5eeEQ5WnqXBZjjs5icTxacedSAyIxRdntxIxGo5SmFE7UaDyw4/ARi63phNr+fEDOd/idazawui87JUIz3+6g5vPOCMm1RSNSRoSmnogJgREJyxUoBCNSEyhNBU0fgv6mMtcUAqlgTQQ3So/b95XYnpGse8Vaxr71XC3dM8mWdjodMsW9dh6dOpOR4PSmkWkXNR6RjIcTqSdH4J3RSfc1axs1JzLrImo1KbT5fSBRCCmtAdwpin1VLceNySZo+dgIjYu7cty4ZoBuz23xOgH49nB+TkMUhyfVgUjg5Tu38PVzNpP3M2SCKg4gO7sZD0NSYcDVz/4ModS82oCbO3gcIVonJ89S57Lm/ItYfe4FJ3yx7LFoxZ3MXGpA1izJcbBQJUwUvpRUQ0WsFGGiKFRiqlGM0nDr97dx99MHyFfCIxJb7YSaRqNjyKUk+UrEfz4xxN+/49Ipj51vd1DzeZ+V9lkWQ0m2DjiWAmIpCBV4gBYC7UFHBP2NaIYwxrCYN3lHA0rwuqpkpBSwYUka4TnouE0EYvbu4JZOHT3JQWUuUlV2mt+l+FDFpKC0mf+DBOE59Lx6Pf7qiRSOt6IDd2mGaH8J2eb3QZVjvOW5KQZwdpbPqYEVKpbjynzt+9tFYZqHKNbrQdrVgazdu4PrDh8yhmrdS1CZFKkwZIMruHL74wzs3UGpNgtorpGNuXbwTFfnMlOx7IniH7JQrbjzOR8pBe+9+kw+cucWhgpVMp7TqL+sRAkdvssfXLuR2+/bweN7xogTTZgolDLTtsFc9zKeQ0/G44l9eYrVmMEuf0axtWVvHilEyxonC7XxIGa4GBDESU1AaH6yc4R/emgXv/HStS3Hnm93UPN5h+MhjvaI68IIIwJcR4KAvIR+BV0KRmkWKbXaWEDXDBQdwNWaVYkku6PI2BMjNXHA7AMG29DcqSMm3Tbjg5pKW+LRalOrUk2NJRqdxATPjbUIFSEFnVevZvTObahCaCIntQhLfRBj59WrW0TInmdGGtORVaKRjqB3MLso05Eti4sVKpbjznzs+6eLwpzbkWkZoji5DsTxPMpjo6xUQ7zlhW0cHFiB7l+KXxpnTbXItb/1XtKvfe28Ixvz6eCZD8drhkw7jqQVdzI/3n6Iv/nBc2wdKhImipQj2TTYye+8bPrzuXxDP79+2Rr++gfPsW+s0rjGdWY8fv2yNVxx1gBP7y9w/3OHSZTGdQSqqZNEaUi5xoSjO+2SL0eMlaO2kSHfkQyHCR+5cwujpbBlzy8/c0lDqI0HMXtHK8akUAqENONswkRx6z3bWN+fazmf+XYH1c/7U9dfwDe/u41oT2TSHaLWqq81Tu0YiYRx4LADvbFJ8wAodEOkgNk0pc2bfQeCjidHjeFbXxo1HqIKE/b2Depui7PUrswqTuopWkFNiJjjqlJkRIrTVM8iBNoBEk3lyUN0XrWqRXikN/TQe/1ZFO/dTXywglYxQkq85bkpPip7nj7MT7+8FREk9GZcKllJkmgO7S3xgy9v5WW/vsmKlZMIK1QsJx1zjcLU60AevPOr7N36FEmSIIQk5afYJBNSlTxaaMYrZX7yza/zpo/873mnXRajg2ehClcXKiJzJBfbyefz/q8+ykgpRGttnNsFPPh8yLaDRT73Sxe3PZ8fbz/Elx/chSNgRY95fROlKFZj/vaHz5P2HO59dphsyiFRmiBWU7IWY+WI8SDGlRIhIIgV1UiRSbUKrpFyQLEasfOQoi+XoifjESaKLXvyPLk3T6I01ThmuBiitBFFjSSLAFeaY09OH7VGhmbuDmrm8g39XHZGH7tuf4ze4Qp0eCTA3tEKUaJwhCCnBbsdzce9kNd5Lm+NPESkSDBiRWizOFFr35eYyEpyuAKuRIYK6bsoWRMqzZGVuf6a1P9c2kVl6p09dRLAkzg9KZJDVZPmofV3ySgqYzTXroMnvaGH1BldVB4fJhkLcHp8MhcOIN2Jv9vqtlEK/7yV86IExwUdxZQTyV7fId+dopQP+dl3X2Dlxl6bBjpJsELFclIy1yjMmvMvIpXOcOct/xeO6+Kl0ybyUf+gN0e/lOlY6A6ehSpcXciIzJFebOvn8+nvPM1wMWikLeopnDhRDBcDPv2dp/nmjVdMaSGu78Py7kwj5XK4FBHEikIQ87+/9RQCwUBnii6uK/8AAEQjSURBVN5sisOlkAP5aos/WF24RIkZdKm1JkoUGSaESqESMpQPTOdMrBgqVBmurSVRmrhmiFYKE5TWeI5EIBoFu7HS+K7Dko72tTr1CEn99WjXHdQOx5Usv26dGUBYNQMIV/akGSsEpGJNCcXXUwmbVnRy3XkrSH1/P0k5wosVsa7ZrtVESrOoQgOxIh6t4vb6plYlUjUVU9sxhXGkrW+kI9oP4VK1n0vAlQhHIKREJwqd1GZiUHucJ+l61VpQmsJ3d5qbm71UlFGwsjMFUdK2g6e6fWwiopIohCMpP3KwEVGpbh/j0L8+ix8mxKIxFohcojizonku45JkXUaHygzvLrJ0bXtxbTmxsELFcspTHS+CgExnZ1vBMBe/FJiw4p+cHlrIDp6FKFxdjFbiI73Ybtmb59kD4wjAc2XLBdNzJVGsePaAqQ25aHXPtPtQT7kkWuNKgSchVhqtNcPFgJTrkPWcVgP22kVZIHAcI34UMFYO8VyJ70hGKyFD+SoaExVxpSDWmmpk5I4nBZ4UxEqTKFMnkiiFEoI4mXAfCZOEoXyA68i2tTqXb+jnpeuXzDvCNTndkVGKbNan2uVROa+X/7mhl/NWdCGAQ0+OkbwQI3StyHY6p9emvUmKEbLTMw61GiNWNIisi440RAlOl4/MecY+P0iMQ22sWkSLSLukVnbQefVqAIr37iY6UEbHyuz/Ep+ua88gc1Yv4Z4i4z/0UGFixEktpyc8B9npIaRAJ1M7eCZPjRaO2+pM+4YNFO/bgw4SAg3SqafCIEST0pqVQUI+7RIkmup4m5SX5YTEChXLKc9C1JHUrfhH9u1tO7hwoTp4jrZwdTFbiY/kYvvorjGiROFKwWR3DYHAkYIoUTy6a6xFqDTvgxEjVRJtxJEQAi3qH/iNgBjKV+lKTwgVTVNAoC5YhJkJdUZ/juFiwFitO0gIkLpWpAqoJofW+nNKIejKuIyUI2JVf4ZasEGa86hGCdS8XdohpTiirqj0hh789d1E+8ZR5RiZdfFWdLBu0r77Z/USPDchttuKE6dWd6IAqY2QEAK3N01cCCAy3TdCStwlHvFogMiYy4RIOTgpB1WfAZQoMwPId3CXZOi8alWjTqTdeutpFm9FB96KHOG+cWTGNa+NFODV9r8QTungmTw1up0zbf6uF0jytfVWk0aK0SzeOF1nlSITKaqOIN3RvgDecuJxYvVBWiyLQL2OpFostoaamagj6Vuxcto6kroV//CunXiZNB09vXiZdGNw4a4nHgMmOnjOuPgSlq3fcERtxs2Fq+2YrXB1PhGZI6F+sb2yFkH54fZDbNmTR7WZFwOtBZ1tEZPuV6N5H6qRIohrYqfhVGzevDxHktQ6gQ4WW8VbI9oRK1PXIQVZ3+X9r9zI7W99Ce97+Vl0ZzyWd2dwHIHWNL4aXS26kZGgN5ci48kpz5EoTVirj5EC/vOJ/dPuh1KaLXvy3Pvs8Iz7NmWbpCC1qpP0xl5Sq6a22GqlCbaNIlISUnL6d3YhaGS9FLUuG2UM1lIOTleKrletpf9t59Jz/VnIlGMESf0h9flAtQJfJMiMSzJaZfQb26luH5t1vfUOHpl20dUE4dSKfGKFKoRtO3gmD1NsPSXjTJuMVNGRwk27OJ6csrf1LJWuxvQOZhlYbR1sTxZsRMVyynM0dSR1Q7e6FX/9TXI+gwvnQ3Ph6rJOQRBrYqVwpcR3xayFq4s51bdenPuj7cN898kDHMhXiBUz1r+8aHUPrpQkiUI6ekohbpJoXCl5UVM0ZfI+5FJOy6djXYuieI4gaop+NNekNKMxpRKdnkPGkyzp8LlgVXdjD7rSLmNlh2qUIEV9ak7TY5Umm3LJpBwynkMlUlOOb84H+tIeO4ZLbVNzi9nJVb+QO10pcCW6HJPkg9YN0WaRQko0yhRwgHGG9ZjSPaOVbvEuASbmA0lhoimeRGY942Uyj3k78+ngAVqGKbbFMe3NQghIFLmuFMWRKkmikVIgahG4RINOOVxy3VpbSHsSYYWK5bTgSOtImg3d2n2SO5pC3HbUC1ff/9VHefbgeMvcNiGgL5eatnAVFqaVuB31i+xT+wqMlkI0kHIkvbkU2ZQzbf3LBSu72TTYwZP7CkQ1wTVRz2miEJsGO7hgZfeULqV3X7Wej33jCcbKppag3smSKE3z6btSkNTqTybTLF7GqjEIQb4StuxVlGgGOn1TA9MmwlFP+4xXY4pBPOXYggkRVYkSRM2HZfL+LeYIgskX8smRwwbNCxYaZ0manv9xJk6H15KeganeJcKTpuhW0AhPOJ3m9+hI5u1Ml9JqJyDm5EzrOcguU2/jdqXo7EtTKoQkkUIr8AUEvsNLftW2Jp9sWKFiOW04kjqSozV0O3p0UzRh9k+AR9tK3I7mi2yxGjcEQZCYDpm0JxnsSjMeJG3bcz/8mnMa7cnNQkAKQV9Hig+/5hwe2HG4bbTh1y9bw73PDvPQ86NEscKRmrTn0pVxGS4GyFozStqThKZ4pGUI8OTLdawUH/vGE3zq+gt46folTXvls7I3w3CxSilIGo+TtazEcDEwxbQaNiHpRTDuCLZpVWuzNc9VjRIcRzIyHqKU+TR/LEYQ1C/kqhKhKwk6StqHl0RNxNRm7XResYrMDBft5shHtLfUsMgVnsTpTCH8JtFwBPN26imi2ZirM23HVasY+8Z2VCHEzbp092eIqzG6YkzhVr55I+mzeue8PsuJga1RsZxWzLeOpLkQtx1Haug2HfWLWqI0G5d1cMaSDlb3ZTljSQcbl3WQKLjt3uemrW2oR2Q6fIehQkAlSlBKU4kShgrBjK3EM61nPIjxpGxbO1ONFPvGKqRc0bb+5fIN/Xzuly7msnV99GQ9cr5LT9bjsnV9fO6XLgbgI3du4en9BXK+y9JOn5zv8vT+Il9+cBfvufpMPv6L57K0y6cj7THY7ePWBEBSM0DryngIIfBciTfp3ARGcDhCsCSXaggqoGWvHClY05elvzPVYgFSTy+9WDv8KVk+SZabyPCJJM3/0WlerB3TWRIrEg2lIOaW/3yaG+54iB9vPzRt3ZDQmrURXOF4qP0lntx7ZGJXKc1WnVByIcmHRqRMe+da0Y0UeMs7yF06OOvx0xt66P/N8+n+H+uQWQ+n28ftz7SKFFjUeTv16I7wHVTBnKNWGh0lLXUtmbN66b3+LLzlOXSgUOMhjoL06k7637LJipSTFBtRsVhmYDEM3Wai+aImhSSTApo8P9q1J9dTJofHA0bLET05j9+6cj3/+cR+dgyX5txKPNN6ejIee8Yq094vTDQj4yEdaXde7bkAN9zx0IzRhtvv28GXfvNS1vfnGlGXSu1i7DsOy7rTOELUDOWMWKMm5DxHNIwAjQeKQ0/Waexh+7ZryXkrunj+cIlKaFI5L9IOv0+aDFDADAhMAeu05H8lKW6hys9q57q0w6cj7TbSOr/8c6un1A1tCjTXFmFZDK6WhBr8O5+j+gtnTqnPqKOVnpImub8WidpxYJxPjrus0wK0wPjxTkKaGTs6UsiMS/dr1s25TkNIQfbipZQfOUi0v4TWU+uNppu3s1DMta5lPikly8mBFSoWywy0K8SNtCSKIlS1RDaXm5eh22zMtxi2uXakUI0a6YautMs5y7unneo73/UoDXEyTd1DjWqs8GM1bf1Lu/bcLXvy03YpISDjSZ7aV+Cbj+7j9RevaIidw+MBf37PNnaPlMmlHBDgu6YgVkxqHQaz9rTnkE5JtKJlD9uJKKU17/mHn9KXTeEKwTuKDp3AATXhfhsAh9D0I/gNfB6hjOsIsikH35UMdvkMFQK+++SBlrqhTYHmV0fNVOSShCIaqaHrcJUDX9vK0jdvJDPpk387o7PxDod/LBZ5WkVc7KXoRTIuNJ219EzzHB4AFOggIbW6s23B6mwcybydhWauImSuKSXLycGipX527tzJO9/5TtatW0cmk+HMM8/k5ptvJgxbP209/vjjXHnllaTTaVavXs0tt9yyWEuyWI6IeiGuN7CSocN5Dh4c5vBYkd1089OVL2dPeuWCPdd82pPrtSOP7xkjX5kQKUprCtWYx/fk+dsf7sCrCYQjqX+or6cSxUxXn9lMrDXnDLZeIGZqyZ1OmI0HMTsPldmfrzBaDvm/vvUkN9zxEA/sOMwFq7q5auMAb75kFa4j2DNWoRolLOkwAqnelONIUXPA1UghGOj0EYi2BcV1EXX1xgEuWNXNWMX4pXSlPc51XJYrQUkK3JpVe/0MHCkooFmDZCOSRGl2jZbZebhEKUzoyXocyFdY2pVmtByBMpGUtIYxCVWtCRJFRWt2hzGFQsD9//wkP9423Fhb3egs2l9C+NJMHvYl0VCZG4qCn8PjzAjSCnwtUAgiIBaAW/MnqQXlnM4US244b94ipU49qtGcWtGBwlueo/f6s474uPNhtlZty6nHokVUnnnmGZRS3H777WzYsIEnnniCd73rXZRKJf7kT/4EgEKhwLXXXssrX/lKPv/5z7Nlyxbe8Y530NPTw2//9m8v1tIslnmzJ72Sf+y+Do999Dsx2s9xOD3AaCXm6QXo2qgz12LYcwY7+c0v/YTxIG5EOurOr1prIqUbc3GOplDzvBVdLOlI8fT+ArMEVABwheDpoWIjcjJbS267LqXmwX9CCBxo1Kx85M4t/Ppla7hv2yGeOzhONVRUooTdYYW059Cd8YiVohwkNet7U3w70OnT4btzLihuXlcukThKEwgQ0ni3xMpY8ifKDADsBJYIyQuOETGVSLF3tMLy7jSxhuvOG+RffrKL7FjI0sijJAWxVo36F88RuFJSUpreSsJf/OsT8JYL2Lx+SVujs5FKwv4kYRDB+8YFMZCpedFqRM0iReNi0kC65mqnKjHxUOmoog02tWI51iyaUHn1q1/Nq1/96sb369evZ+vWrdx2220NofLlL3+ZMAz5u7/7O1KpFOeddx6PPvoof/Znf2aFiuWEoVFQGiYMLlvLeL2OAhj0nAXp2qgz17k6Tw8Vee7gOBnPIV+JzCTfhj29wJVmom9vLjWr5f5MPLDjMAeLAdMEeFpIexLPlS1pqdlacls7b0z7zHAxqE0nhliZ9E93xqM7A7tHy/zp3c+SSzn05Xx6symCOOHQeIjvSn73FWfxKy9ZzVd+uptbv7eNIFb0d6TwHYdKlLTsIZjUUzuX3bpgfGx3nq0xBNoHrQlVrbMXyHoOsdKIxAwCLMqGVYkxgFWKg8WAnozLFRv6uWhVN//17W04+yMqiSLWRlh4jmykqJQQpITADYzAfLHvTzE6Gw9iDhSqZIBsTYgcQBEi8AGBxgVijJBCglCY9iWYV1fOdNjUiuVYcky7fvL5PH19E61w999/P1dddRWp1EQI9rrrrmPr1q2Mjo62PUYQBBQKhZYvi2UxWWy318nUCzzPWd5JOYg5OB5QDmLOWd7ZiNzUUyb1AX9tyjtqF0xBdBQGb/UOpLVLstPWzTgCUo6gL2fESF82NaUlN+05SClIew6DXT7Faswt393Kfc8Oc+25y3Al7BqpMFwIqITG1j5WZv0DnWkQxqOkEiUEsaI74zWOmUm5rOrNkGjNvz68hx8+d4gLVnbzvms2sKonw1g54kCxSjmIOXuwk9+6cj2P7cnzxtt+zLv/4af8wVcf493/8NNGlw4YwXjVWf2Uw5gtccQuFF3Ui3LNVybloJWmC8ELKJ5MYoJYESYmUqK1aVde1p3hvBVdXL6hnz+8/ny6cimW5VI4UpByJ0QKmE+OsQCdcXnu4DjP78ob59imvR8uBmgFS5jwpFEI8k39yILajEGlSWJFpDWRJxHO0XflaKUJ9xSpPjtKuKeInqO7rsVypByzYtrt27dz6623NqIpAENDQ6xbt67lfsuWLWv8rLd3aivZpz/9aT7xiU8s7mItliYW0+11Omabq1NPTdRFymSxojHf12fVzNfgDVoFWtpz2LjM5dkD41PqZ1Kuw7Iun/EgaaRUZhJ3pTChHCZs2TPG+/75ETPZWGkUmvGg1rCjNJmUY0QKsPNQmWqUNCYZ78tXWd4t6PDdxjFLQe2YX/5ZQ8SlPQchoDvtceHqbkbGAz5391ZTL4IpwF3alUIpeHz3GB/42mN89s0XcvmZ/dy37RC+K6lECf+gAz5Imn5MTUoMBJWYHg1lNP9I0GI413zpXto5sff+yg6yy3Po3UXQNDqS6g/KKdjrwQFfEpU0Y0LT02R0VgkTgjgh6whSyYQtfIJZR1ctqgLmU6jEFP2OakVHOSJekWLwKLpy2hX1ukszR1Sca7HMlXlHVG666SaEEDN+PfPMMy2P2bt3L69+9at5y1vewrve9a6jWvCHP/xh8vl842v37t1HdTyLZTaOdv7OkTK5wLM5rVRPTVSihJQja5N9a90eWhMrI6wqYcKZSzvmZfBWZ7JAE0KwsjeDJwX18SyOgO6My3iQtHi0zFQku3e0QpiYoXGVMCZOFEqbgtfujFczThX0d5hL7t5RUyzbfE0PIjP8r1iNJo4ZG6O2IFYkShHGinwlolCJ2DVS5j8e288DO0YYr5pjuVIQxgm7Rirsy1cbKZX3/fMjfPnBF3hqX4GgNrRvi6P4cxmyA0UWQR8CV2meQ/EnVPkZ03uXfH/rMG/7uwf50bZhHt+b5/5+jzKaJVrgKOO262noUVAVcFen+Z3aqCU9CmRXyjjP1l5XrcGtJfokEALV2qs/jCLGCBgFjKIYRpEBSmj+kbCtD9xcmLaotza9uD7nx2JZaOYdUfnABz7A29/+9hnvs379hKfEvn37uOaaa7j88sv5whe+0HK/wcFBDhw40HJb/fvBwfZGRL7v4/tTJ+BaLIvFYri9Hi3NtSxRoghiiGLV6PqRQuBISWfandHgbbJtfbuoTXOha4fvsqovy3AxoBrFNSt8zTnLu3j3VevpTHvc++wwI+Nho06m/litNQeLVRKlmlzYBZ4rQEOkNGGiyHiSSqQYLgZmjVrjOoK4SSjWn3fXSJmUK805S4gTMwtIStGYgtx8YU40JDVhWZ8BVH+OlGOKUAuViD+7+1mKVSMO6kXKj6PYIgPORJCJNXk0z0tNWIvy1CNbzdRTcI/uHuMdX/wJxhRW8yLt8Ov4rE0kvoBECvZ6RqRoDf9zVLNOeHT/YC+JBhUm6NEqbto1ny61RiJI0IwKDeZ/lIEhFP1IfCBVa9begeKrMmJnMeLNR1CvNJfpxXOd82OxzJd5C5WBgQEGBgbmdN+9e/dyzTXXcMkll3DHHXcgJ3lNbN68mY9+9KNEUYTnGYvyu+++m02bNrVN+1gsx4O5FrgebSHtfGk2K2vno3Luiu4ZDd5m68iZTqB1+C7ZlGTvWJWVPRk+df0FFKsRt9+3o+VYlVhRKgSs6cs05t+Um+zpwczvUVrg1AuAY8VAp09YCChHCRLTAhwrTdwmoKW0ccaVTUN9HEcQJ7ox1qZdW3WsdMs6NMa0zpXGIK5SSzN5zkSRMoASmmeUIqo9uivlEFaTiYM0IQDXESgF5SBppIY8CVscxQfjMhuQ9GiBl0kx1uGxrqp4ax6ySLLdKWTGg0ShE4WONalQ0S/M715ZmLUljsBt6iAqAxU0O9H8o4wYk5pndUKiNbm4vSHfbMxlevF85vxYLPNB6GmnVx0de/fu5WUvexlr167lS1/6Eo4z4a5Zj5bk83k2bdrEtddey4c+9CGeeOIJ3vGOd/C5z31uzl0/hUKB7u5u8vk8XV3H7hOt5fSj5cJec3tdqOm3R0M7Z9r+nD+jwdt0HTmjNeFVL9qduF/SVqB96voLANoe62Btbo7vStKew2gpnHZwoOdKJEZArOrNoKExJNCpDR2c7Y1KYi6ajpywvadNlGM2HAk9GY/DpQhHmK4cIQSJ1rU01cR9PceUj2g9dbSOKwVSQhS3rt13pZnSrE0ESWtIuZJu3+Pmqsd6JKkeMy6gjtaaJB/g9qYZWp3lPx7bTzVSvCFxjSeLVgQYt9wuBGU0fy5DHndU4/GR0nSnXb70jsvmHVGpPjvKyFe3mnRPm98prTRqPKTvLZtIb7QfMi1zY67X70Urpr377rvZvn0727dvZ9WqVS0/q2uj7u5u7rrrLm688UYuueQS+vv7+fjHP25bky0nJLMVuB4v2jm+zsR8huS1t5ifsON/6fol01rg92ZTjAdlymFCKWyt4fBqUQ8wF/goUbhS1GpHTJtyT9YjThSuIxkrh42ISlPwpHUfnNpgXz0xJPiICjI0dPouI6UIal1TQui2zrxJMlG47NQ6leprlAKSZKrA0rXFCSGMJ0st3XXTi9dw/iMj+FkX4bXO0RFCID2HaKjEwFjAb+gU4zphWCeMaU0Pkg5MS/JzKP6RgEdUgicljhAoNFpr1izJTZuibGfRXxclc5pevEhzfiyWRfutevvb3z5rLQvAhRdeyA9/+MPFWobFsqDMVxSciMyn3fqCVd0zCrTpLPDHg5h9Y9VGZ4uZDdM02bh2sa5HO7Q2URBHQJQYYbOqN0MUK3YeLjfuJ2r/EU1ipH7IJKlPUZ4QRRojGHSb+0+HxjjsplyJW7tQl5uEVn2UkIkEiUYr8uTjJjXDOql1I5JkCoWb9ru25xrBqoyHBy2tyI01BQlJITBP4gjSnWn8WCEOVxjXiu/kNNuCkOE44RkmbP7jRIE0a/Q9yR9cu7GtsJ6tm2eu04sXa86P5fTGyl+L5TTjSNqtmwVacwHuzuHSlGNpdMO0za1HTuopFKWIlSmcbYfWxk/FcwS7lCZMNOWwta6FJtHh1Qpp6zUp2ZRxjW2OZEgp0EqTtBET7VAa8uWYjcs6KFQixsoRUtSM3oSZ2lwXMMbipHabI0lqIRUpBRlP0pX2OFgMGmMD6mZxTacCmAhTR0962qhFUgwbqkumHIQUVIFDKJYIwWWx5PvdKfaMVZBqIqqkagLQ9yQfeNVGrjhran1hvZtHB0ktcuJCohrdPHVr/OM958dy+mKFisVymtGum6eZmdqtJxfgajTFakzKlfTlzP2roSKIk4aRmemGmajHmA7ZJARipamEE74pdXTTfV3H1LUktRoPrTRSSLIpl3IQm5RN7UFpzyHjOYyWwzmNAki5gg+/5hwAPvXtp3lqfwFqXjWZlLHkB1q6n7KeZHVvhkMlIyqWdKTwXcloOSJWJiLjSNGIRiitaiJOsLInw1nnL2XskUNTohY6TNC1adHClaYal4mC4LIjWBbDOdJB92YYLlYJYoVSplh5XX+O//2689qKlPl088x1erHFstBYoWKxnGYcabt1uwLcIE7IVyL2500UpDNtZu2YOgzTqeM5gmpUiyhMs6a0K1nWleZgMaCiEpQ2gmm6+h8zMsBEZhwBadfhwlVdfPC6sxmrRPRkPB7fM8a//GQ3Q4VqTWSYwYRDhaBlLe10y2svWN4okP7k9RfwW1/6KZ4jyKZc0inZ6ATK+Q75ckQ5TPjYa8/l9Rev4MfPHeJP7nqW3SNllNZkUw6JMl05SaLROmm42wJIrdkzWuEd//BTfu+sQVaMVFuiFjqsObs5AtnpNV6vek1PqDU5Lcgp6Ei75FI5qpGiFMZEieJzv3QxF63uabuP8+3msXN+LMeDY2qhb7FYjj/1dusO38wpqkQJSmkqUcJQIWjbbj2dJX4m5bKyJwPAntEKh8eDmjGeScc4taKQ+htNO1EggMHudKOwtP6sQtBI6UwmSiZM7dKeS1/O43detoGLVvdw9cYBLlrdw1s3n8G/v+8Kfu+VG1nW5RMlCaNN6az6cQVTBdSh8ZDHdo+hlOaCld2cvbyTMNGkvQmRUj9IJVKcu6KL11+8ggd2HOb2+3ZwIG86lgSwui/LH1y7kTP6szX/lwmRIoD+Lp++XIqn9xf5wIM72HfZ0tbpxIluiBTpT3y2zKQcfNdBKk0soCTr+yZIe5IoMf42F6ycvqZKleMpFv0tOBKtVMt8IDu92HKssREVi+UUZSYzt5m6eZqN2+qPqxfg9mQ9qpEiVgpXShNdEBMzhfbnqybVg0nPdPguo+VoxtoQgSm+dSe1Ic82CFGg6U47nDXY1WgRn3zO+UrIrd/bxkgpNAWvun0qaTLfeWKI/3r6IJsGO/jwa86Zk4/OAzsOt0Sc+nKmTXvPaIX/9793ooHujMd4GJMkpu1aoxkrReRSLoNdJtrz59uG+OINP0cyVDL1HxmX/HefJx4q14qSJ4TBQEeKykiV50l4FkFKzc/fx3bzWE4GFs1H5VhhfVQslqnMZuZWZ/KFfbQc8Gd3b2PX4RJJzfBssDvDJWt7+caj+4gT1ag1qReXRrFqiU40UhKJnlOXzZHQlXbxHNlIt0gp2p5zvmrSMrLe9owmiFtX5NYM5ZrxHFDKrH2g0+dzv3QxwLQ+OvU27af3F1ratMHUojx7YByA1T0Zdo9VkEI0uqEipcl4kjOW5KjGinIQc/tbX9LSXTa54LW5kDWQ8MVOzd3j5Xn7+2ilOXTHE7W6mNTUbp5CiLc8R/9vnm8jJ5YF57j7qFgsluNDcy1JT9ZDKTPFd8vePB++cwufrpm5QWs3z/9z33P86d3PEsZ1kzBzvMOliCf3FRqdNilXIqSZzBtOsovVtHb0NF/+6625AuZU0DoTUaJMAW9HqiFSJtfP5CshpSBpnKcZAChIua3rnipSBK6UaKGJlGKkFPI3P9jO37/jsnm3aQMEka5Fcoxbb13kKW3amqUw84mqkcJ32w+4nKmQte/q1dy8vps3H4G/j5DCdvNYTnisULFYTiGaa0k6fJehfEAQJzXRoSkFMZ/+ztN888YrWi5kP9o2zJ/e/SxBpOrXqbaRENPyqnHE1CjEdHhSkGgjAIRgiriZL4IJ59m+bGpaA7tmMWQcbrWpL9Ez+6kkNYM3Y+tvBj4+M1Rs+Mq089GZqeW7Xlxc1y8aGlGp5khUMYhAeNN2XM1WyHqk/j62m8dyomOFisVyClGvJfFdh31jVSMqpEBI0NoM9ntqf5F/emgXv/HStYARN39yl4mkuJIWv5F2F/S6SGiXNG4EE5qPIQQOuiYAYLK+qc/TMbUtmjCeXgDVU0ux1gx2pVvqZ9pFM+qY+hRM980sAktpM+CRmq1//ZxnmpHT3PLtC9lSx+MI0diX5khKvYhX174OFQPGKxFnDXZxzmD7eTn1QtaFxnbzWE5kbNePxXIKUf9kP1YOG4Zrsja8TgphhuRpzVce2tUwIXtyX4HdI2Vz4ZRiwgW2TTuMrKdu2lzsp7ukKa0Z6PJJe84UkeLW0ixOLTWjZwi2GO+UienQv3LpGqQU00YzsimnpQU5iGcXKXU0xtW1Xn3jOe2jHHXqLd8HCgHPHyqx83CJ3SNldh4uMVSoNmz2x0qhmUnEhECpk2goRYpdh8f5zS/9hB9vPzSntS4UtpvHcqJihYrFcgpRv5jWDdfEFPlgJhUPFao8ua8AGHGjahb3uk3Kp/kIZrow9OVS03a0tiPlSM7oz7K8Oz3Rfox5A0qUNu6yk6IdAjM/pxmtzXToc5d38muXrmmccz2a0UzGc/C9I3uLE5jISpKYfTl7cKqvTDNSCq46q59SEFGqGdUl2tS/lEKTekt7kmpsvGFcp90rY/xhcr7H0/uLfOTOLcdcrFgsJyJWqFgsxwilNFv25Ln32WG27Mk3IhoLeVylNQOdqVpr76RWXG28R3zX/NnXUxl92RQZz8FzHNQcmgCFELhSkHKcqVGUWpigXnjr1FIdsTIOtofHg8aqTK2GcawNYjUx8bjp5zX3fSSmayfnG9+WD7/mnEaNTT2aMVqOWtuPBfRmPI6E+lGUhs60y3tmafNVSvPvj+2bEjFqHE9DLuUia6EUralFu8z5+a4k5YqGWBns8hkPEm6797kF+z2xWE5WbI2KxXIMmGu78EIcN5NyGmZprjPRIhwrUyDanfVAT0Rf6hf6x/eMEU34ejXqKOqiQ2CEBRjr+Mmpi8kdPks7fapxghCCchCTrxg/FU+KWVMw9YhD3fCtnopZ19/FH163qWXP6gZ2xuekSsZzCGPFWCWac+HudMW1pktJcPt9O5BCTPtabdmb59kD40hh5g/Va2JEbUZQFCsOl0K60y5Z38ORZgbSUKGC40ikEGbQodC4UrYdDmmxnK7YiIrFssjUW2ef3l8g57ss7fTJ+e5Rh/enO26+EpmheU3RDKWNV8fybp9ykNCXS6G0RinduND3ZlPk0u6kAYOGzrTbMmdnNqSAapzQm01x6y+/iDVLcuR8lzOWZEm5E5GE6XClqV3xPUmqFnmQUvA/X76hrVi4fEM/v37ZGmKl2TtW4UAxIKiJlHpEZibaiZSUI9i0rKPhGtv8Wk2Ojv1s1yhRohrpNilEo+5GYP6dKE131qcSKTp8F9cRtc4fTZwo03LtGFdZMMMhozatyhbL6YaNqFgsi8h0rbNp6TDYJRkqBNx273O8dP2SOflezO24aaJEEdR8ObK+S8ZzqEQJ+/JVlIbdoxXe+48Pt0R1mp1qC9WIIFIgIJtyqUYJriNY0ZPGkw5RknCwGBImpv7ClRIpTQQEqNW8CP7vN5xPdybFwUKVZV1ptDZRGc+RtToQTaJ1iwutoCkaUbvIaxSJ0jzw/AgDnekpPiE/3n6ILz+4C4kpqg0ThRTGrh7mbzrnSljZm8V1HFyHltdKac3t9+1ojWJ5jnmO6V7C2u1XntXPvc8OM1QIEJg6lqSpyynRUAoTOnx3xuGQFsvphBUqFssiMlPr7NGE92c77kBnmtFSyOq+LAcLVQ6XQsaDGClgsCtNT8YjTFQjUvCpmglcs6FZT62+49FdY9z6/W30ZDwyqdpbRmj8QZxal1CiNQM5v8XjRArozqRaunJKYdziaisBRGsXkabW+lw7rUTpxjG/8uAuvvXYvhaB1SzaerM+xaCM50gjHNT8PVukgFW9WTqa5urUX6un9hX44L8+TpSohrFcmCgOFqpobYSadFpt7rU2wwhdKXnji1dx3XmDfPo7T/PU/uLE8QHHEUSJZu9ohRU9acaDpO1wyMlopW1bseWUxgoVi2URmckIDEx4v50T6UIcV0rB773iLHpzKT5y5xb2jlZY2ZtGCvOY6aI6kwXTWCVCIEg5kkqYECtT/KqUbhSPamDfWBXApDuEuVj/aPswV2wYaHTlmPqLWqGsUtMOHdTo2n0mRIojoL/Tx5GiRWB1pr2GaIuSpsnNR2B/KzA2953pqUW4KUdQqEZkPIc1fdmWKNaq3gzjB4okCqKaf8pEbZBpct402NEYENidSdHpu/iuYKQcobSZl2TWrdg7VmFFd3rWWT3V7WMTRm2JQjgSd2nGGrVZTilsjYrFsohM1zpb50jD+3M97pIOHykEo6WQgU6/IVLAiIFqZOointlfZMve/LTPpbRi5+EyL4yU2DNa4UCh2jCGa+7iqTvXghEZf3//C+QrYaMrx3cFviuJal0+M7nDhk2dQFKYacHZlEPac1q6Yg6VgoZoqwshpSeKgeeKrD1PgqbdCLRiNUYpTXfGmxLFklKyrCtdq70x9SixMiZ3UggGOv1Gp9KT+wrsGB5noNNnaVeGVb1ZMp7puEqUiTZJIXjXVTMXWtfn/0T7SwhfIjtTCF8S7S8xeuc2qtvH5nH2FsuJixUqFssiMm3rLCYlMFaOOHNpx6zh/aM5brvoy3gQs/OQER4HClUOlwI+Ok1hb74SUgoTKlFiJiXLqe6yMDHHx0QRaHTf3H7fDt591Xo6fIcDxZCUI5gtIaN063NoDR3+hEBoTpuNlaKGaEt7Et+VLVOY21GXGa6c6GhCmBqRvWNVnj9UYjyYaIHSWlOoREgp6PTbB6J7Myk6fJfVfRlyKYe0J+nJely2ro/P/dLFDdEx+fXo8F3O6M+yti/Hqt4Ma/pydKU9Vvdlp12/VprivbvNkMKuFMJzEFIgPAfZlUIHifm5bW22nAJYoWKxLCL1jpoO32GoEFCJEpTSVKKEoUJAh+/MGt4/2uNOjr6MBzF7RytUo8R0p9Tca/eMVqZ0ISllCkd9V+JKgVJGQLRbbfPsGoDujEdvLsVzB8fpzqT41PUXcPZgB4VqMu991MCh8aBFPNS7YnqzXkO0AQx0pk0ahemLaOu312camUjQxHmUwoQ9o2UKlaixpznfpSvtTttaPVoJqUaKYiVGCJMqW9Wb5T2TWtDbRcMEpq28M+0hpZjVCTfaN058sILMum1rlGTWJT5YIdo3Pu0xLJaTBStULJZFpt5Rc87yTspBzMHxgHIQc87yzkYR62Ietzn6orRiuBg07PWNHb5xTV1ZK+BsNhmrF+0u7Uyzqi/bsMGfTgDUW4GlMFOWm1tsL9/QzwevO5tcyp2YfdP0NRuJ0gwXq9RjJc3prWbR5kjBiu50Sxu1I0Xbep7J3i8w0X4dJ5p9+QqlasQ5yzu55c0Xcu6K7rZRrGI1Yihv1taT81jZk2FJh8+e0Qof+8YTLeJvIaJsqhyjE8W09sCORCszAdliOdmxxbQWyzFgckdNXzY1pcV2sY7bbIi2d6xKNYrNXB09YQI30JlGSjmlC6k5TZH2BDnfYawcsT9fbXihhInGFaZOQwhzsdWYluXJNThjlahRg5E0F5FMo3yajdg0UI0U1dCkeMbKUaMrRkrR0l4dKU1PxmU8THCloC/n05lyeP5w2djYA9KBuBbcMeueEFhxomt29i5/+OpzeP3FK5A1XxRjLBfQk/XwHUk1Ttg7VgFgZU+GjGfeVtPSYVmXYO9YlU9++2k+df0FXLCye5JB3cRxgkQxVo7mFGWTWRdRH3Mtnal3SBRCSmTWvsVbTn7sb7HFcoxo11FzrI5bj7588ttP8/R+kyIRGBO4gc50oxV3chdSc5oiLR0EpjZkrBxRjRKEnBATUpp/xBoynsR3BQeKYUuLrbHrl1QiU3Bab1WeDlcK4qZ6E6U05TBmrKKnXNDbibZ8JWx4nhwqR+R8B4Q5bjmcSEHVNZPryJp3i+lK0lrT15FqeY5mQZRXpvBWCsHS7nRLt9B4EDNcDKhGMU/vj3jnl37COcu72vrW5JXGk4JzlnfOya3YW9GBuzRDtL+E7JJT2qFVOcZbnsNb0THjcSyWkwErVCyW04T6xfGdX/oJKUeSTbmkvdaL3OQISD1N8fT+IoO1C6LAdLHsGSkTxZqUK0kSRVRzV3OkoCvjcaAYThET563oYsOyTh7bPUYYqwnPlDZIYbxFhBCm7RjQwvi0THdBbyfaLj+zf4p4+cx3nmkMZaw/l+vIRm3LRIRlaq3IZEG0c7jEX31/O90Zt9G+HSaKQ8UAVTsGmMGMM/nWzCfKJqSg8+rVjN65DVUITeSkFmFR5RjhO3Revdr6qVhOCaxQsVhOIy5Y2c05y7t4al+BjKcZD2JcKRu27c3pFJg8R2ciTeFIQdZ3CGJFLuUQK4dqZFxqMykHNG3FRPPxEqUohdP3/0zY0ZsJxo6ATcs6+dQbL2ykUOZCO/HyybTHO7/4EwrVqJH+MpEhjUCgalGc1X3ZtrUizcc07dua5w+VjWeKnjCw8xxZ64bSZFMufd7svjVzJb2hh97rz5rwUVExQkq85Tnro2I5pbBCxWI5jZBScNVZ/fxk5wij5bDhDus6Es+R9OW8KfUR06UpLlzVw7uvWt9wn6072Y5VohmjA83He3JvnkI1anTfNBMnGq2TRsRlSYfPR197Lhet7jnqfbhgZTfLe9KM7g9rrdCmH7o+vThRGt+T/MG1G2cVRKZ9OyaIFJ4jELV0FUCYKJyaB0w9erWQwwbTG3rw13dbZ1rLKY0VKhbLaUR9Jo7vmlqMKElQGoI4QaP59ctaIyBKaZ7cVyBSmj+4dhMwuxCZC81pjx9uG+bv/vt5wljhe5JCJSKIdcOPxRGwrj/HJ1533hF1SNXPoTm98sCOwxwsBia9w0SLsnlOTcoRfOBVG7nirIFZj337fTtIORKlzOweMSmXpTT0d/iNFNuRuhFPh5CC1KrOBTmWxXIiYoWKxXKa0DwTZ3VvFgRUQ2Vm9ghBvhpx37ZDvPOK9Ugp+PH2QxNdNLXhe/UZOwtRFCyl4LwVXdzy3WcAGrb0y7rSjIyHDI8bx1kElKoRt9+3AynEvMRKu3NYP5AjX4lIlGZNX5ZD4yHVKG74wEgBG5d18M4r1rfsXbtaknr79rKuNHGtfboaNfujmCJjV060EdthgxbL/LBCxWI5BWl3YW03yDCTcgDT3iqkaKQkitWIj9y5pTbob2L43uRi0KOl3ZpKQcKh8RCtwXPMYCDPdeb93D/efqjtOTyxt0CxNnW6M+3RkXYbgs2VEoRmpBQ1UjMzCbaoNouo0b6dylGJTLtyFKuai68gVgpwGj4pcxk2aLFYDFaoWCynGNNdWC8/s39OAxIPlQL+7kfPM167mDcP32s3xPBomGwnr9EMFwMSrWtOuBqF6ZwZ7PLn/NzN0aPJ59Cd8chXI8bKIb05r+EKWxdsSmnyKmakHE4rduqi6beuXN/avi0E2ZTL8u4Me0crJEo1fGMqUTJnnxSLxTKBdaa1WE4h6hfWp/cXyPkuSzt9cr7L0/uL/P39O1FazTrIcKwUTYly1JlcDHq0TLaTr4aKSpSgdW0oYW2w38FilVKYzPm520Vq6ni1NuQgTqi26Tqq70NPxmsRO2nPQUrRMhTxP58YYv1AborLbIfvsqIn3TCJK1SjBXEjtlhOR2xExWI5RZgpimAiIWbi8UgpZHn3xM+11lTChOHxkPUDOboz7pwiLwtRDDrZp2U8iButvXUEEMSKvaMVlnenG5b8M9FuEGOd+uDCcpgQJQkZJpxdm1MzwKyCbcfwOL9zzQb2jO6Y4jI7HiSs7MnwW1euZ3VfdsHciC2W0w0bUbFYThFmiiKYC2sKRwhSrmwMMixUIp4bLvH84RKlIGL3SJm//N72OUVeFqIYtHW4YpXRSQJEYCIgKUeSaM3BYoArmPW52w3+axxTCLqzZvhfvhpPO9BxrBLNKtgipVndl51x5tJvvHQtV28c4IJVc/d+sVgsE9iIisVyijBTFAHMhVVKwds2r+XHzx3mqX35xsRh33VY2uWTciR7RsuUwoQoCVjTl5liz77QxaB1X5VbvruVLXvGGrdLYbplnNrF3ZGaIE5Y1j37c7dz1G0+hzDWnLu8k+5Mih3D7S3st+zJt9SfTKZZsF2wqntRZjlZLBYrVCyWU4bJc3kmU7+wXrFhgHddsZ43334/UTLOQIdPxjdzfAAGu9LsHi0TxAn781V6c6l5D82bL5dv6Od/JYr3f+VRUq5kpBSitXGk1ZiZQEliDNmuO28ZslZoO50wmMvgvw+/5pwZxcVksdOunfuc5V0tLr6LMcvJYjndsULFYjlFmC2K0BwJeXJfgYOFKstqRaLNiNo05dFSyOq+LAcL1XkPzTsS+nM+2ZRDznfJ+S7DxcAY0SkzeyflOmRTDldsGJixZbi+trkO/ptOXDSLnd2jZcJYEyVJw28l5UquOqvfRk0slkXGChWL5RRhLlGEeiRkrmmi33vFWSzp8I9JOqNVaPnk+rNtIxj5SsjHvvHEnDxejmbwX/3xv37ZGv707mcJY2VGDghTN+M6ki8/uIvzVnTbLh6LZRGxQsViOYWYaxRhrmmiJR3+MUtntBVaroSEmtByefdV67n9vh3z8ng5mpSMUpr7th0il3JY2Z2p+btMDHFcSE8Zi8XSHitULJZTjLlEEc5b0cX6gRxP7C3QnfHwHNkYmnc83VNnE1qdaW/OHi8LIbDqnVR9OX9KigxY8OezWCxTsULFYjkFmS2K8MCOw+QrEcUgJl+NcITAdyXdWY8w1sfVPXUmoXXvs8Nzdtfdsid/1CmruaTIFnLAoMVimYoVKhbLaUazLfxgV5qxckgQJ5TDhGqsOHd5Jx9+zTlzrruYqfvmSJlOaM0lZaWU4i/+axsHC9VpC23nylxTZHbAoMWyeFihYrGcRrRzr+3NeoxVIsI4oRIqutIeL12/ZE7Hm0v3zUIyW2fTwUJAmCTsGS0vyDDF+XRSWSyWxcE601ospxGT3WvHg5idh8scKFQZKUVUopifvjDKPz20a9ZjzTRX6CN3buHH2w8t+PpbnWyDFlfZ/fkqYZLgu3La2Ty33fscapJF/5E+X7OLrS2ktVgWDytULJbTiOaai/EgZu9ohWqUIIXAdcwAvTBR3HrPthmFxuTIzEKIgrlSL7idbFm/ui9LLuWytDO9oMMUp3s+O2DQYjk22NSPxXIaUa+5CJKE4WKA0hrXEQ1XWiHAlWYI4Extt7PPFVrcbph2BbeHxwM++K+PL0rh69H6sVgsliPHChWL5TSiXnOxZW+eahTjSNkQKVprYqXJeJIlHakZhcaJ0A0zueB2PrN5FuL5LBbLscGmfiyW04h6zYXvShJVn6OjUVoTKY1Ts89Puw7RDEJjpunEMHdRoJRmy5489z47zJY9+aNKFdVF2Gg5QuvW49QLX89c2mELXy2Wk4xFFSqve93rWLNmDel0muXLl/PWt76Vffv2tdzn8ccf58orrySdTrN69WpuueWWxVySxXLac/mGfn735WfhORKlIFZGqGQ8ycreDB2+O6vQWAhR8OPth7jhjod49z/8lD/46mO8+x9+yg13PHTERbi28NViOTVZVKFyzTXX8NWvfpWtW7fy9a9/neeee443v/nNjZ8XCgWuvfZa1q5dy8MPP8xnP/tZ/viP/5gvfOELi7ksi+W059cuXcOl63rp8F1W9mRY25fjjCU5Onx3TkLjaEXBYnUM2cJXi+XUQ+jJH4cWkX//93/nDW94A0EQ4Hket912Gx/96EcZGhoilTKf3G666Sa+8Y1v8Mwzz8zpmIVCge7ubvL5PF1dNqRrscyVCeO3pO0Aw7lc2Ft8VGp297P5qCilueGOh3h6f6FlXg+YaMxQIeCc5Z186TcvPeLox2KY0FksloVlrtfvY1ZMOzIywpe//GUuv/xyPM8D4P777+eqq65qiBSA6667jv/zf/4Po6Oj9Pb2TjlOEAQEQdD4vlCYX6uhxWIxzHWA4WzHmG83zLHoGLKFrxbLqcOiC5UPfehD/NVf/RXlcpmXvvSlfOtb32r8bGhoiHXr1rXcf9myZY2ftRMqn/70p/nEJz6xuIu2WE4TFqLtdr6i4EToGLJYLCcP865RuemmmxBCzPjVnLb54Ac/yCOPPMJdd92F4zi87W1vm1J8Nx8+/OEPk8/nG1+7d+8+4mNZLJYJoXH1xgEuWNW96CmSheoYslgspwfzjqh84AMf4O1vf/uM91m/fn3j3/39/fT397Nx40bOOeccVq9ezQMPPMDmzZsZHBzkwIEDLY+tfz84ONj22L7v4/v+fJdtsVhOEOz8HIvFMh/mLVQGBgYYGBg4oidTynyCqteYbN68mY9+9KNEUdSoW7n77rvZtGlT27SPxWI5+al3DH3kzi0MFYK2hby2jdhisdRZtPbkBx98kL/6q7/i0Ucf5YUXXuB73/sev/qrv8qZZ57J5s2bAfi1X/s1UqkU73znO3nyySf5l3/5F/7iL/6C3//931+sZVkslhMA20ZssVjmyqIV02azWf7t3/6Nm2++mVKpxPLly3n1q1/Nxz72sUbqpru7m7vuuosbb7yRSy65hP7+fj7+8Y/z27/924u1LIvFcoJg5+dYLJa5cEx9VBYD66NisVgsFsvJx1yv33bWj8VisVgslhMWK1QsFovFYrGcsFihYrFYLBaL5YTFChWLxWKxWCwnLFaoWCwWi8ViOWGxQsVisVgsFssJixUqFovFYrFYTlisULFYLBaLxXLCYoWKxWKxWCyWE5ZFs9A/VtSNdQuFwnFeicVisVgslrlSv27PZpB/0guVYrEIwOrVq4/zSiwWi8ViscyXYrFId3f3tD8/6Wf9KKXYt28fnZ2dCHFsh5kVCgVWr17N7t277ZyhNtj9mR67NzNj92dm7P7MjN2f6TmR9kZrTbFYZMWKFUg5fSXKSR9RkVKyatWq47qGrq6u4/6Cn8jY/ZkeuzczY/dnZuz+zIzdn+k5UfZmpkhKHVtMa7FYLBaL5YTFChWLxWKxWCwnLFaoHAW+73PzzTfj+/7xXsoJid2f6bF7MzN2f2bG7s/M2P2ZnpNxb076YlqLxWKxWCynLjaiYrFYLBaL5YTFChWLxWKxWCwnLFaoWCwWi8ViOWGxQsVisVgsFssJixUqFovFYrFYTlisUDlCXve617FmzRrS6TTLly/nrW99K/v27Wu5z+OPP86VV15JOp1m9erV3HLLLcdptceWnTt38s53vpN169aRyWQ488wzufnmmwnDsOV+p+v+fPKTn+Tyyy8nm83S09PT9j67du3ita99LdlslqVLl/LBD36QOI6P7UKPI3/913/NGWecQTqd5rLLLuOhhx463ks6Ltx333384i/+IitWrEAIwTe+8Y2Wn2ut+fjHP87y5cvJZDK88pWvZNu2bcdnsceYT3/60/zcz/0cnZ2dLF26lDe84Q1s3bq15T7VapUbb7yRJUuW0NHRwZve9CYOHDhwnFZ8bLntttu48MILGw60mzdv5jvf+U7j5yfT3lihcoRcc801fPWrX2Xr1q18/etf57nnnuPNb35z4+eFQoFrr72WtWvX8vDDD/PZz36WP/7jP+YLX/jCcVz1seGZZ55BKcXtt9/Ok08+yec+9zk+//nP85GPfKRxn9N5f8Iw5C1veQvvfe972/48SRJe+9rXEoYhP/7xj/nSl77EF7/4RT7+8Y8f45UeH/7lX/6F3//93+fmm2/mZz/7GRdddBHXXXcdBw8ePN5LO+aUSiUuuugi/vqv/7rtz2+55Rb+8i//ks9//vM8+OCD5HI5rrvuOqrV6jFe6bHn3nvv5cYbb+SBBx7g7rvvJooirr32WkqlUuM+73//+/mP//gPvva1r3Hvvfeyb98+3vjGNx7HVR87Vq1axWc+8xkefvhhfvrTn/Lyl7+c17/+9Tz55JPASbY32rIgfPOb39RCCB2GodZa67/5m7/Rvb29OgiCxn0+9KEP6U2bNh2vJR5XbrnlFr1u3brG93Z/tL7jjjt0d3f3lNu//e1vaymlHhoaatx222236a6urpb9OlW59NJL9Y033tj4PkkSvWLFCv3pT3/6OK7q+APoO++8s/G9UkoPDg7qz372s43bxsbGtO/7+p//+Z+PwwqPLwcPHtSAvvfee7XWZi88z9Nf+9rXGvd5+umnNaDvv//+47XM40pvb6/+27/925Nub2xEZQEYGRnhy1/+Mpdffjme5wFw//33c9VVV5FKpRr3u+6669i6dSujo6PHa6nHjXw+T19fX+N7uz/Tc//993PBBRewbNmyxm3XXXcdhUKh8WnoVCUMQx5++GFe+cpXNm6TUvLKV76S+++//ziu7MTj+eefZ2hoqGWvuru7ueyyy07Lvcrn8wCN95mHH36YKIpa9ufss89mzZo1p93+JEnCV77yFUqlEps3bz7p9sYKlaPgQx/6ELlcjiVLlrBr1y6++c1vNn42NDTUcqEBGt8PDQ0d03Ueb7Zv386tt97Ku9/97sZtdn+m53Tem0OHDpEkSdvzP9XPfb7U98PuFSil+L3f+z1+/ud/nvPPPx8w+5NKpabUgZ1O+7NlyxY6OjrwfZ/3vOc93HnnnZx77rkn3d5YodLETTfdhBBixq9nnnmmcf8PfvCDPPLII9x11104jsPb3vY29Ck8kWC++wOwd+9eXv3qV/OWt7yFd73rXcdp5YvPkeyNxWJZGG688UaeeOIJvvKVrxzvpZxQbNq0iUcffZQHH3yQ9773vdxwww089dRTx3tZ88Y93gs4kfjABz7A29/+9hnvs379+sa/+/v76e/vZ+PGjZxzzjmsXr2aBx54gM2bNzM4ODilgrr+/eDg4IKv/Vgw3/3Zt28f11xzDZdffvmUItlTbX/muzczMTg4OKXL5WTem/nQ39+P4zhtfzdO9XOfL/X9OHDgAMuXL2/cfuDAAS6++OLjtKpjz/ve9z6+9a1vcd9997Fq1arG7YODg4RhyNjYWEvk4HT6XUqlUmzYsAGASy65hJ/85Cf8xV/8Bb/8y798Uu2NFSpNDAwMMDAwcESPVUoBEAQBAJs3b+ajH/0oURQ16lbuvvtuNm3aRG9v78Is+Bgzn/3Zu3cv11xzDZdccgl33HEHUrYG7061/Tma353JbN68mU9+8pMcPHiQpUuXAmZvurq6OPfccxfkOU5UUqkUl1xyCffccw9veMMbAPO3dc899/C+973v+C7uBGPdunUMDg5yzz33NIRJoVBofHo+1dFa87u/+7vceeed/OAHP2DdunUtP7/kkkvwPI977rmHN73pTQBs3bqVXbt2sXnz5uOx5OOOUoogCE6+vTne1bwnIw888IC+9dZb9SOPPKJ37typ77nnHn355ZfrM888U1erVa21qThftmyZfutb36qfeOIJ/ZWvfEVns1l9++23H+fVLz579uzRGzZs0K94xSv0nj179P79+xtfdU7n/XnhhRf0I488oj/xiU/ojo4O/cgjj+hHHnlEF4tFrbXWcRzr888/X1977bX60Ucf1f/5n/+pBwYG9Ic//OHjvPJjw1e+8hXt+77+4he/qJ966in927/927qnp6elC+p0oVgsNn4/AP1nf/Zn+pFHHtEvvPCC1lrrz3zmM7qnp0d/85vf1I8//rh+/etfr9etW6crlcpxXvni8973vld3d3frH/zgBy3vMeVyuXGf97znPXrNmjX6e9/7nv7pT3+qN2/erDdv3nwcV33suOmmm/S9996rn3/+ef3444/rm266SQsh9F133aW1Prn2xgqVI+Dxxx/X11xzje7r69O+7+szzjhDv+c979F79uxpud9jjz2mr7jiCu37vl65cqX+zGc+c5xWfGy54447NND2q5nTdX9uuOGGtnvz/e9/v3GfnTt36te85jU6k8no/v5+/YEPfEBHUXT8Fn2MufXWW/WaNWt0KpXSl156qX7ggQeO95KOC9///vfb/q7ccMMNWmvTovxHf/RHetmyZdr3ff2KV7xCb9269fgu+hgx3XvMHXfc0bhPpVLRv/M7v6N7e3t1NpvV119/fcsHplOZd7zjHXrt2rU6lUrpgYEB/YpXvKIhUrQ+ufZGaH0KV39aLBaLxWI5qbFdPxaLxWKxWE5YrFCxWCwWi8VywmKFisVisVgslhMWK1QsFovFYrGcsFihYrFYLBaL5YTFChWLxWKxWCwnLFaoWCwWi8ViOWGxQsVisVgsFssJixUqFovFYrFYTlisULFYLBaLxXLCYoWKxWKxWCyWE5b/Hy1dkhjvonh1AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(10):#0-9中对应各个数字的数据，在二维空间的分布\n",
    "    plt.scatter(X_reduction[y==i,0],X_reduction[y==i,1],alpha=0.8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1797, 64)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
